{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将数据集下载放在这里：C:\\Users\\myy\\.keras\\datasets\\imdb.npz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "C:\\Anaconda\\envs\\keras\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'2.3.1'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import keras\n",
    "keras.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 电影评论分类：二分类问题\n",
    "判断评论是正面还是负面"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IMDB 数据集\n",
    "IMDB 数据集，它包含来自互联网电影数据库（IMDB）的 50 000 条严重两极分化的评论。数据集被分为用于训练的 25 000 条评论与用于测试的 25 000 条评论，训练集和测试集都包含 50% 的正面评论和 50% 的负面评论。\n",
    "\n",
    "与 MNIST 数据集一样，IMDB 数据集也内置于 Keras 库。它已经过**预处理**：评论（单词序列） **已经被转换为整数序列**，其中每个整数代表字典中的某个单词。 下列代码将会加载 IMDB 数据集（第一次运行时会下载大约 80MB 的数据，可以不翻墙，反复试几次）。\n",
    "\n",
    "参数 num_words=10000 的意思是仅保留训练数据中前 10 000 个最常出现的单词。**低频单词将被舍弃**。这样得到的向量数据不会太大，便于处理。\n",
    "\n",
    "train_data 和 test_data 这两个变量都是评论组成的列表，每条评论又是单词索引组成 的列表（表示一系列单词）。train_labels 和 test_labels 都是 0 和 1 组成的列表，其中 0 代表负面（negative），1 代表正面（positive）。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "imdb.npz 数据集被单独下载存放在：C:\\Users\\myy\\.keras\\datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.datasets import imdb\n",
    "\n",
    "(train_data, y_train), (test_data, y_test) = imdb.load_data(num_words=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25000,)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'train_labels' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-a9d3398faf5d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain_labels\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'train_labels' is not defined"
     ]
    }
   ],
   "source": [
    "print(train_labels[0])\n",
    "print(train_data[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对于训练数据，求它们的最大值，由于单词不超过1000个，因此单词编号（索引不会超过1000）\n",
    "max([max(sequence) for sequence in train_data])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于数据集给出的每个单词都是一个索引。我们可以将这个索引号对应的单词找出来形成一个单词和索引的字典。reverse_word_index，这个就是输入索引（key），得到单词（value）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 如果好奇的话，你可以用下列代码将索引解码为单词\n",
    "# word_index 是一个将单词映射为整数索引的字典\n",
    "word_index = imdb.get_word_index()\n",
    "# 键值颠倒，将整数索引映射为单词\n",
    "reverse_word_index = dict([(value, key) for (key, value) in word_index.items()])\n",
    "# We decode the review; note that our indices were offset by 3\n",
    "# because 0, 1 and 2 are reserved indices for \"padding\", \"start of sequence\", and \"unknown\".\n",
    "#将评论解码。注意，索引减去了 3，\n",
    "# 因为 0、1、2 是为“padding”（填充）、“start of sequence”（序列开始）、“unknown”（未知词）分别保留的索引\n",
    "decoded_review = ' '.join([reverse_word_index.get(i - 3, '?') for i in train_data[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "decoded_review "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "decoded_review = ' '.join([reverse_word_index.get(i - 3, '?') for i in train_data[1]])\n",
    "decoded_review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "maxlen = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras import preprocessing\n",
    "\n",
    "#将整数列表转为samples，maxlen（20）的二维张量\n",
    "x_train = preprocessing.sequence.pad_sequences(train_data, maxlen = maxlen)\n",
    "x_test =  preprocessing.sequence.pad_sequences(test_data, maxlen = maxlen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"x_train:\", x_train.shape)\n",
    "print(\"x_test:\", x_test.shape)"
   ]
  },
  {
   "attachments": {
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jONH4Zq9nSXmBAAIIIIDAxQrs8lvyEO0Qh8jjktDP5XxiI9oyTgzO7hA4rsDfjps9uZ9awO/35Aa2RuFUyyPnrC1Lu63uYJD8TRRp3Lc07L3qT/bjf216s0FtHln3uE17Ycy64u2abqMS77TR2Z13KvUOiUxjUHvzoSn2ctmheHmStGHqLn/LMwIIIIDAbxCwRwqLw/5FY3Ws4axHw5ygeAecqw9/ou7yKILzjRdfRWM95r1X7VHFkFNtDd5Ges/27fY6ut3wOmwWWLm70f0k1P1k6Zzr99Uy3R1tW87zmybdmj4jUaT52FaL1eAdAggggAACTRfY67dkbTvEhjWvzWPXNold021Y5h02O7vzDmXeKQltGTuxkQiBpgrQA6OpR2ancmU/0GvmmJj9UF6bf1sDMzmGvvSzaSeMlTxX80i6xwXv+qzLM/rUu5kqozCk0K7pVop0kAVNcz5IpVYy6SbH3zT0rKyqWHBIl3wXbd0nE6LUfWaKDVN5Op4RQAABBBDIBLLritzDfRlvNkxm5Ks/C4jYGr3VzJHUHuht1ss10NDqaFx3rZMUZn7+Mtc8JnSxGJ7w1Z+N1XinP3kFzE0mnZZay+NFbT13xixDXiCAAAIIIHBmgUP+llxth9i+cqt57NomsWu67cu8SYqmOW9S5u23oS1jezNSINB0AQIYTT9CW5Uvi+5XDY/g9zX7HZzlG5k7+1r7TDopbZNHe/AsR4GGj1WNB5HGj+buycUxpndNtxXfxhufx3nj4h1qw+6fdDixyoYe04Bi5kvJW2i2d9mkqO37B9nmM/NaHkkpDu2xSX5sgwACCCDwmwTy6wpJtpNOixEMZfXXzPWVBC96ms184a3v2doevM0m9JY5b60LYhQCK3c3i6ELc4SSOySTQ+XIm5peI+k2s/Oe21Nndg7+TceUuiKAAAIIXJ/A9r8lt2mHqPLaJo9d2yR2TVdV5v2Wn8d5vzLvkJq2jB3QSIJAwwViHtcl4DmxpFi2E3thGIfJnxePHDuWnHg0Sp+9Wa292Mm2H3n59mHsjZzYNsud+ZazJCsvtswjHKV52068sE9vFDu2YsmOR+HKTuJ413RxVr6auoQrLiX7Ly46i7MpQBiPjJE9isuIikWcv96j/lXm5vORHCsnXviEbO1iqpR+HuzSg57WIj0+im1nVP65zj7fC2WZA+z3KqtTzcdnv/xJjQACCCCwnUB+rpFi27YLf+YawvzNz02eky/Lri0Kac251Cs7mebnviQvxXXnp9WCZ+fcLK25pnFKd2JOf+aabLG8eX7zdeXXRPN6Keb8lKvxjAACCCBw0QL5OZq2jMJh3OO3fCGXhZdncTYluLK2jA3aMZJaZ9d7tGUsfAp5g8DWAto6BQmaLxCaQED+o9j8MLZj2/GSBu/ShvowDXAkAYv8B7dtx84oTbNRhbfNIwxjz7HTQEa+z7ycZY0JeSF2SneEk74pzzmcT33ST+q55edja5f1AYy0GGWf66zxKbkIK2/kyT86Oz9nF3g0EO0sSEIEEEDgsAL5D+/Z9UMepMifTQAj+5GcbVP8Dg8X0s+vkcwP69kNHFm67YIXWTXD5SBGfmNJkaGwTbFwSRnm13DJj13Piz1zk4fjzP+Smwjy+h7p/FcsLq8RQAABBBA4hcDWvyW3/K1aVgfaMk7TZpRfm53qZkxzrLc+tmVtDhVtaRsGMNJilOVLW0bZf0eWIVAl0DIrGt5JhOIhgAACCCCAAAIIIJAKzCa2XprEO1++5GSPQk0Hi0M0mSEjHntuOuG37ch7m8gKC8vMiFMl6Zayrn67NASVPfL0NujO5rjw+63ZsJ6OF2uSTSoejTuy8knDq3MvWePIiyfadG7ykgxYhAACCCCAAAIIIIAAAgg0UoAARiMPC4VCAAEEEEAAAQQQKBOIxn09vn9JutOzmRsi3yiK5Idh8s6ypNfHF+n5TZNs7oh8s9mzCTI8fuhPMY9kguxHfdelm2Ww7oWZK+pRelucP2MheOJ4ivPohckuGquTTRxu27bu7u4k3erPn5tkZ5apmHm0swm/i9s7nqbFvNIt+RcBBBBAAAEEEEAAAQQQuGgBAhgXffgoPAIIIIAAAggggMAlCkS+r7DbnQdgskpEURKf2LhKptfGo95WeplsnAEbIoAAAggggAACCCCAAAINFiCA0eCDQ9EQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPitAv/wWytOvRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKC5AgQwmntsKBkCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAr9WgADGrz30VBwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgeYKEMBo7rGhZAgggAACCCCAAAIIIIAAAggggAACCCCAAAII/FoBAhi/9tBT8fMIRBr3x4rW7Twaq9Ppy1+74bqMTrw+KfcG9TtysaJxR61WR53xpQEeGYbsEUDgIgQu5zvMV7/VSs9XFyH7Swrp99Xpjy/vGuKXHB6qiQACCCCAwGUK0JZxiuN2Ob8DTqHBPhCYCxDAmFvwCoFVgUM3AviveneHslodVbetRxo/DhUEX/oIN2uANye5JjTWR+G3FKyr3ypzsiSK5EeRoi3/ynJr39wlix/u22WrWYYAAggcXuAqv8Mi+b4v348qAu+Wbm0puPujbpWoOY92Ouo3IiJvfnj31R/7FfVJK+H3OzsHAKJxff5+v69xbhH5SVmq6HZdHulWd19D9ayO+tUXG7tmv2G6NLjV9zfc/Fib+X21Wn2duxjHqh75IoAAAgggUClAW0YlTdkK2jLKVFiGQHME/tacolASBJomEGn84ioIpI8/9+q2D9AY3p1oGv5R/7GnodXRt/emSXcpX/9Vw0CyRyXraoiCoaWOQk0H8/yiyFcoS1ZNuoVVYajQ6mq5SAvb1LxpJ/W7VccaVtevKn34ql7PrVpbvtzxFE/m9V3c6E43VasWN+QdAgggsL/AVX6Hhfro9eSa79qaE4N9W3+WMefRB2ubL2QTaHiVniYqnNL2P0YK9e26cu1bPQ2qQi6Rfr4CBcGd9LTtLiN9vrtygy/d3lgarJj5+jD7N6e6cKL7zxe5w0BfS+fudXtNzu2hZFkV7ta9nt7u9ef1US/foaKKeyHCMMnkMNc3C4WONO7kn5uFFad/053Ic1rqdW4VTgfa5lN4+sKyRwQQQAABBA4lQFvGtpK0ZWwrxvYInFgg5oEAAuUCnhNLSv8cr3ybnZeG8cg2eTvxYs5e7Jh97rA/z7GTstqjcFYqz8nKn9djg+di+llGsxdhHHpe7IVhHNb+ebFjK3ZGddt5sefNyzrbReFFODJ1suNClQpr85eppW0XLJNjV3ifb8ozAgggcEKBy/8Oy75fK7+E162P4zj5Pl73Pb54UELPie3sfOWsOU8splzzLjuv159i0/Nw/bmwYj/r8i9Zn56nt/PZ5dw+u55Zvg6ox6io6JrFST2bdA5Oj+kxqrpGgtUIIIAAAgicRyC75kjO/wc/AdKWEYa0ZZzng81ef7OAfnPlqXvzBNLGnppGd3sUlzZ5h148cuxZg4c5UScN2qUbb1Lv/KRsx05JYGCTHBa3CZPG+sVG//SkV1yWNko48WghOGACBou5Vb3LGzV2u0bZ5Ad+FmBZbgDZ9X3V8cwqmNRnzTZxnB2rYqUb13hSdcRYjgAC1yxw+d9heYDCqwhae0kw3h5VrTdBb3MzwHYN9MlnwpzXk0C/4uLX+z6fl+QaY905ZdfylpyLTMC/ePou/zxk59V15SpUvKoe4ciJHceJR4t3RiQpzU0O5rqoMhZVyH+/l2l9Ng0AzYJV29TfBLiyz0YamLFjx3wGawqeXl82KahSU1hWIYAAAghcpABtGekNmrRlpB/f8uu+5Y82bRnLIrxHoEqAIaRO3OOF3dULhN/J2Eny3u4rhj1ql3T/99W3enJtRyPvTW/JiAqhPh976llfGoXTrYegiMaP82GcBm39UUu9oaX+Tbg65FN9lbK12TAcG23rami5Gha2tUehuhuMo9GdhBrpU/dVI2MU8tztZTreue7M0E1H20lWNDPUhiTnpuSY71Z6UiGAAAKnE7iG77BQ5rQcBD1ZxZPSMuK69bKXU6x/3+5qMPX03erJ7fX1J55Uz7OxPjdJZninQPbDW+05xTcnHnukbadQSq8bHHnT/Nzo69UMv2WuTd4mGmisF1dyRvcyYzrNR3Wy9OSN9MdaXt7W9iNXfsl17+RNykACBXrQ27HHUPI/5MqRt+6aJfI1fn3R0A3KClu5zMxPYkabdEae3tILPoWfr3oZ9mS9jyqHiWoPnuUMe/rwJ+rmh6hyL6xAAAEEEEBgewHaMowZbRnpJ+cafgds/3+AFAgcU4AAxjF1yXtnAatdFqgoyy4bZ9le/tHa1mAa66bfUu9xrPttxj2OxnpMJ6HQW/YD3AQGPFnq9SzJ2zWIYdpEFueoSGtkJrrsSV6s1ZhAtm7jyRzaGkwGGZSZfDWsHiM759xr3otIkZ+OoZ1nt8lzMux2d80xjn70JcmMrW4m9l58hJK6OzTuLObCOwQQQOBoAkf9DjPnPkvDwN4pSL95nbuaxLFK28M3z+QAW7p6GT9tFMhf2ZmZXF2SFX7qPbB192ziB4VzijkhdbtpUCNKgwz26GYpyJDnGipU2TxRvl6HQTJ3Vd42Ho1flMTgn5+Smyj8/lCmqd7MV+WWBoMWF5ZfL+TlyJ4jX35hnitzZkweCwGSbJmZbf1LCgt1T6t+2IhGEgByvNpgU+T39dhzFciW44X682GpZ0746x5+Xz03MKNsLlwvtQcTdW+kTu9dn9Gg4qaVrv44Uu/D14QIxjpp1iOAAAII7CFAW0aOR1sGbRn5Z4FnBPYXIICxvyE5nFMgMg0SkuOVT8zYfRrJtoZ69QcLP3YrixyZ3hymkcHcRVnMs62kd8OXpWHP0ldpIKIy1/OsiD710ksbTNYVIO3hsW6rsvVheodp2arKZabBYrq2Qcx/zco+tErv/E0aMA7b7lJZYlYggAAC2wqc5jss0LdptT7Dd6E/7utDt3q6HxSCyb7G/Q/pz5Pu1wWpNwFN7uZPNwzePxUNiuflTTIw23zqJTmvZ/n0rCSwME/tyIvTAMb8mFX3OCnrEen3TU+LkcJZr4M0oGF6cjyZibyzwIi0HHBKf9jvek0Rfr6oZ264WHgE6lkmdFL2MOsKgRJT5u4upmV5m2Xp3YaOl4dxyrcLP75054V6yz4j/kf5dotL08lI5Xjl13PdiaZmJrCaRzeNYMifdGsDLDVZsAoBBBBAAIHDCdCWUW1JW0a1DWsQ+KUC//BL6021GykQ6cfcgXe3+ZBB0ed7cgffbTJsVEml2je6Mx0ZP8z9l2seSfCiJzdpYMiHqjC9GKLsbk3TqyOU59jJHZStzrgwBMSavGerwyQvc/fn/C9fWVyWv87XlT2b3g9+IR+Txpef313ZHmgax2aem7V/01mjS9l+6pald+duso9wZIYQyYIX9W0bs0YQ01Cxknc42mUwkrpKsA4BBBA4sEDebfxY32FpL8MwXLwT/cCVSBreO62WSs93367c4bfCYvAk+tG76+pba3rYbVjQKLkosDXyHNN1Qa8bnMrLszaBg5Jzock3f+RBhrLzTnIe9WS2vlvqEZkOaWTLec6GgDI9Pvqm94Wt0ZsJDkQaP252M0FelE2frcF04RyZnmdNQGa1rsk6E7Aorlu4UWPTvdZslw0f9WfNOb47mSbDcRY/OjW5pqvyRp51mddl1P0jR642uSSsy4Z1CCCAAAIIrArQljFv36AtIx0K+1i/A1Y/fSxB4DcI0APjNxzlK65jPs5k9VjV2ZwNXz+KzJBDFRbF4QwW5szII/+zIapMT4ypwtuOrOFQVutdjve28bwYgRmjuXDz40JxVu4Kna8tNLHMF6qi94NpfJlU1bSQ/CgvTcBHshbuvPlhy80AACAASURBVDWNOY/pmNWm58Wahg1TrORuVtMLpmzj8DsJWj1UBa2OUi8yRQABBDYXONV32PZzJGxeh2TL7CYAPdyXnz/t28X5qpLvZ0fPG3zPry9JOmdFMh9F90bfcpObEY4z/E+h92XZeae2sGkPCHfpHG56aph7A/y+GepLsh1HcjcZJ6l2Z41emQSc7IfFz8ShSnyQc396Tfj+E0mmZwwPBBBAAAEEzihAW4a5eXTpQVvGEghvEUAgF6AHRi7Bc2ME7Fvzg7+j5K5Pc+dncvdnX2O/MGZ1UtrsLofakrd1Y7pgVD3MJJL9jiwzFrPtyFue8DtrvLGXGm/a5q7HpCdAINNo0eqUlW91p6ZBY6VHQZze1WmGRKpat5qTWbLc+yGU6eRgxlk828N/TeYJsVod9cemd4ivfsdKghcmMLRRu1AyxrWZL+SpdIiH9I7cOy3dBHu2KrNjBBBAYEHgCr7D8t58eYe+u2RKiPxuuvQ5r7OZU8H0VDSPdALsW1kLvQzzdKaHYJ5qg+fsjvv0/NvVkznBuS8ab5PHBrsxm/z4H+mcSxXnnbpsuk+ePDOXVNazIe3U4eh50FY0TiecNkGYt6fbNJsw9zDPec6rvTPzNTs9l/jP5sfYKcPzJyqe+81NJ51Odn2YXCN21N/qw3X++lACBBBAAIHrFKAto9imkbZzlB9p2jLKXViKAAJVAgQwqmRYfgaBUN+BGSWip97XnR68UKFpFAg9je6+krknOmUtF5sMORV8a+HHexa4aFk9Dd1AtuMpnE62uyEvGaIpHVJKgZuUr3SYjTNILuwyG1ZqtUtnPgTVwtb7velOFMehvNGdvkxvE6snNygJDFXtJRqr03NN9CKdQN1fbfBK71RZuuu3Kj+WI4AAAqcUuJLvsPC1p55lpd/hZhjGnnm9+Ge+qs2wTma73sunzFTZSXf5YLiybZr2RT9bHIt0iMg0EGCStQfPchRouPs4UpV7v0nmT4hVO5xiNin7SiZtM6l3NmRWNgyV403UjXx9fput86GkzOsguVaYW6Z3Hia9M4u+rwtXLCu7TM6DK0vzBW527JaO18pcGfn2h3tOyrXJNdkeu/zot2S9SA/PxWvE9DNaeo24sK/0ppYgmThmYQVvEEAAAQQQ2FOAtow9AcuT05ZR7sJSBH6hAENI/cKD3vgqz4Zrykva1mDS1Y1a6g0fNb6fJsMy5GvXPVu3Zu6F4iOS//qSBC7SORk2HwKqmEv6OhtS6s9Yrx/S02TdZJjmLsvVXNIlxbsxq7bZfnlUOsnnPJ+dJ8M2d92GklXS4cO6f9Lb/ZPCz0f1hq5ePp9k3c/3mb8yASqra4b2iuSPzbZmKI5sAvWkIdCMG16c9HT7sUXzffGMAAIIHE/gur7DupNY8cRopZNMy1uda8Pvt9T7GinM5lEwvQ1c8/0d53NIzbWTbfW8xbk7mwTbeS70xOvKzMHsml4YT90t8srKYXo+zItU+co3vSbeH2b1qtxwZUU214XjaZoModVNrl0GiaOU7rx4PjMZ7DeJ93IRkt6hg+Wl1/E+DdoEcgufubRm6TXifTK05/bXiNehQy0QQAABBBojQFvGQQ8FbRkH5SQzBC5agADGRR++ayt82o0w/62/XLvu00i2O9T7Z6TBFpNOpz96i+NI5UEHX0oaz5f3tP37dnew0fBIu86BYe89XnNJo5IJEFjv2mXEqWSYqtAMF7UyamUpXjC0yuf+MBd4XdPS087GzDa9NbLGr/ZAb963HnuuhlZHMsN76VPvgeQcZoD10rKyEAEEENhe4Jd/h0VjPQ4D2aO3QsAhU5z1Sth8YoxonE2C/bSYJr8OML0wzI0Nmz/Sng/lU1AtzjLVvX+Qbea4Sk47625KmJcgGj9qaHocptGL+YpjvzI3E0hbzDsRKpTpNXLsgh0nf+e5/JgkPXSGvaSHznafjeOUk1wRQAABBH6bAG0ZVS0DtGXQlvHbvg2o73EEGELqOK7kegyB9r0ebGml638yQfeaHS5PNGqazA8UvFiz52z18hiPq2NDls+BkW5XO6zFrABpt9XZ26O8KOwjGS6qWI+l18lA4OZu06XlZpzwZP4QE4iYN0Qkd46aO3cLjSptM6xHNteICWL0X98VyNGfbdqtjuJApggggMCiwHV/hxXnbUhfz2uf9TxQPtyT6VXQUj6kYqQbPXuelmIR8+Qrr+a9L1buVTCB7Z3mwqg4F6UTViyWwAwPac47ZiisznijXhvKAjjJ0FEmNzMHhe9rPO6rXzb05eIet3y31BPR3ExQHH5q7esPc8/AUR5Jj9dNrsl22Hvam9auuekinaBbtftP7c46V9gOdScJAggggMAVCNCWseYgFtoZ1my5++rCPmjL2J2RlAicSYAeGGeCZ7eHEMgm6P6qy2uTib7r0rNuQaBqDPCFjda/8V+HCsw8F5sEIpLGJKljDeWa2zoWhhRZvy+2QAABBM4qcAXfYWYOjNK76pIRGtsavIW6VzYPhNKG5HTy7eRuAbW3aDD3+2ZeCFujiojH7E77x7Hus+GrDn58zTHzvtXqDWX1bxTX9fZIejOa4Q6loNdacTJBjYVH6VBWy8NLtjc3S36Am31EGncsDTUf1qu4XzPElzWURnkvx+JKXiOAAAIIIIDAiQVoyzgxuERbxsnJ2SEChxQggHFITfI6skAWMS+MBpXckee+6zMaVIyHnaaxR6Zp5bQPc/dl6QQRlcXYZA4MM7Fnd/OGjeK+zB2hxff1c4QWt1x5fXezh6bflxl5yvHmvS9WdrC8oD3QszNUz61u1FpOwnsEEECgMQIX/h2WzJW0FHBO58DIhPNJrJO36Xk3uDMnmS3PFdn5wQxFtdL7YnYwu5p4jtzeUI/j+/qJt2dpdnjRnSgcSa83JRM9FbNL7qhM52uy7+70cPtHNzdmAu2yIETFUFbD3sIwi/YorKlXdl3zsFyutgbPjoZlLn5fVjLEV1jjWqzUbq/bN3emm6x2OPJrd9jOhvZK5t+u+1jVTiKe2t0912WwtihsgAACCCCAwA4C6TlItGXQlrHDp4ckCCAgEcDgU9AYgWhsfmCrdALQpJBZxLzY9T//QVs5L4b/kdwN6ezT4L6TUKTPl56SOak3TV91h+tS+s0n3TYBkfxHuqueVXr/rLZpY4o+zRBOtlbaTZbKWPc20q0cZ7TdMFBZo5bpfVHeqGVrear2ujKwDgEEEDipwFG+w9Lv+G16N5ykzvndbe6H/El3dU6MqkKYngwmum1655V/0c9TdifyHFe9oaX+zeoE4/MN93vVHky01H+iJMO2BtNYm82dfYBJvJPrGluj+/z8XihSEnT5kjW01FEWBPH7qauZXHydayGrnV52/8hRTx/+xEwxdthH+yZp83E/fE3KMo/SObLsuguUxM6Rd+iyHbam5IYAAgggcIECtGVU9NZdOpa0ZSyBJG9pyyhTYRkCywLMgbEswvuzCbTvb2XL1UvFeNHJsEOzMbazYiZ3tUrB8DWZxHKx8JHGL2ljSMVIFIubH/Rd2qARm/ke1v55MlOI1s2BUcyjbiSLeRXSoSQePyOl47JXl2Oz/NKckwnR7QeVtZvM913/KpnwfDLYolHLVz+ZLNyRV1pYYz3VtHRdfVlYiwACCBxdIDrGd1j6HW9ZLfXNDM4NeqSBblOg6vP5SnGNkZX2Yhi9bdY7rzsJlUyH0euo4rJhZTfXsMD/MNc11edhc873HFuBCWJ0Omr1XAWOp/Ak58h0+DATZDj8o6unmvlP0mtEWw81Fyip3e0WE54fvhbkiAACCCBwnQK0ZVS3N9CWkYyDTVvGdf7Xp1YnFCCAcUJsdrVGIJucM/nR3R/LN0MeJRNhjtXvtJLhg2YTZBay6k5MAMBVr9PX2M/SmMYQMxZ0YGvTxpBClhf90gzv5PdN3aW9hnpaUfBl2k1UOzzDSqL9FiRji2fjoTNu936WpEYAgdMLHP07rG5S49NXV8on4PYUjkwjetnNBUvlSoIX5nveBPKnFb3sltIkb83cGyPZCjS0OusDOWbuify6In8uy7Z22YbeUTqBd6cwmXlttpuujMZK7st4qB8Wszt5S4I7QWBm5nCS+URK+mtsutcttkuHsZLpfVOTavk45JuG+XExz/nCwnN7YOqVHe+xnx1PX+N+Jxuasu7zk17DOM+bBcgKu+UlAggggAAC6wVoy1hvtMEWtGVsgMQmCPxSAYaQ+qUHvqnVNncOhjdjvb4M1TPjSSUPW7Yzkvc2ULf0F3hXkzjUn/6jXnpmAsssVW2abKMrfPp66cgN0h4dh7zhMhq/pA1Mf04x9kIkf/yql6GbDFm1XaPWFR5UqoQAAhcmcOzvsG2GLToEnWn8X59POgF32luuLUujd0u9juRNJ6W97iK/r0fTQ0Bm5KhQW5+zihOk91r6Gnl6G3RLZt6omHsiqZLpA7nPI1Lkh/r8+dD3+5fcJGiQ52fLWQ42bDSJt0m/PIdG3kvFkVc5FFTxcyfZti0FroaWq3fb0cPzkwblF1J5gfd/zoaRehk/qVtWzmisx6S3zfKuitd96edhdcgr87kPdZNcH8znDbFtRyPvTYOay5P0Gobho5bVeY8AAgggcDgB2jL2t6QtY39DckDgagViHgggUCPgxY4U26OwZpt9V6X7cLw98wlHsS3F2rW8WfrycqRllD2KN5bwnFiy4+3owjj0nNi203psnz41DEd2LDnxvqR7HhGSI4DArxO4tu+w7Ls/O7eY88vC3+ycEMaeY753FS+eQ/L0djzyCmePMIxH2fY7n7OKn63C+U+2Exd3FSfrys9Fm58rTP1M3VfzSZfPXWxnlNS1UNu0pMUyLjuWvZ/Z5smd5By/6Jut87xFz6JBuLgu8bad2HFGsed5seeFm5/Xi+Y1rzd3rcnkoKvSz+Fxr+UOWmAyQwABBBBA4AACpzj/pfsouz7ZqgKF66SdztdZ+vJyZNejS9dWteWjLaOWh5UInEPAjM/PAwEEKgVOd9Lf6URdLHdykt0y2JKdmG07bXhabXwyOwjjURZQWFvGcBQ7th2b/NJgympjT7HIC6+9eQAmaWBxtgiWxHHWuDRvRNoq2LJQEN4ggAACOwhc5XdY9Y/SpOHe/BAMvdipO0cU1i8EF0zDum3HzkK0YQf3PIk5/4y81cb4uh+0YXUDfjgywfT0fGbOSel5qSQsbvJPAgYrIYu8ZOlzUo4tzomLqVffmfouBT5M8KSaM4y9pE6F8+RKwGl1N7stya4bylsRdstyj1Szz+oeeZAUAQQQQACByxOgLYO2jMv71FJiBKoECGBUybAcASOQNXysbbjfR+uA+wirWy4qSpjfjWAaaZzFO2QrUtQvLgQ7dmiYSu7aLN45Wr+zxbVZAEemwam2EWcxGe8QQACBQwlc3XdYFpR2SrrSmQb+JGCQ3eFfH4gwPS6cLXvkHeqoxHEYrgkulO4q+9E/O6fskkch4+wcdcg2/fzzZnq3bFs6E3jyygI+hSLv97I6+LVfvlumTtzpkbmlGpsjgAACCFyDwAHbGSo5DrgP2jIU05ZR+UljBQJxyxhc7fhYV1axVqtVWSMOYyUNKxBAAAEErkyA8+GVHVCqgwACCCCAAAJXLcC121UfXiqHAAIIHF2ASbyPTnyaHdRdEJymBOwFAQROKUDQ8pTa7OuSBDgfXtLRoqwIILCPANcC++iRFgEEmiLAtVtTjgTlQOA0Aly/nMb52vbyD9dWIeqDAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACly9AAOPyjyE1QAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDg6gQIYFzdIaVCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghcvgABjMs/htQAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGrEyCAcXWHlAohgAACCCCAAAIIIIAAAggggAACCCCAAAIIIHD5AgQwLv8YUgMEEPiFAq1W6xfWmiojgAACCCCAQC7wu68FIo07HfX9KOc4wLOvfpbnLNdorM7B93OAopIFAggggAACFyrwu69fLvSgNaDYf2tAGSjCAQT+/m//+QC5HC6Lv/7pH0szu5RymsI3qaxVnk0rpylPVVmb5FlXzksyNWXlgQACiwJxvPj+Ut7VxSSvrU6XWh/zWao6TtSpOf/Tqo6RKeGlHqe6OjVHvlASv6/Ox62enwbqtgvLD/ky+tR7ECjoWfpyPL1Nutp7V/6H3CCQI83zat/r+eFbLz1LLdvR6PlJgwNUyu939KKH4xod0pu8EDiiwKX8TryUcppD1aSyVrUPNK2cpjxVZW2SZ105m2Za5WnKyQOBbQXogbGtGNsjgAACCCCAAAIIIIAAAgiUCEQav7gK3KE+wlk/hpLt9lzUHmgah/IcW4Hbk9UZa7+9peW2HU9PlhRFUfYnWfdPegs9OXI1/PgsrMu3SZ83r5GvDzdQ4H7rZ89SL+7TV7/Vkrmzdfu/jsb7AS4WhXcIIIAAAggggMABBeiBcUBMskIAAQQQQAABBBBAAAEEfq2A/6phkNbe/Qg12bW3QhTJl2StgbSe3uTpUR+39ybqUB8OaLfnPSuW8o3Gj2m5g54sd2ll8W0wlOUOi0uy1468eKJuyZqVRaanhyTHm2iwd7eRldzleLEmGxUkS2uGybLeVzNiCQIIIIAAAggg0BABAhgNOBCR39djz1V6rb/FxW8Dyk4REEAAAQQQQAABBBBAAAEp7cUg2XIcyXV76tyGmu7USv+pF2uY/T7axNZSaVxhljT9jVUaL4jGekyiLuW/w6JxR9bwbvMAxWyfZS8yI8fbLshQllXFMrfXSgIkFasrFtt6qFjDYgTqBGjLqNNhHQIIIIDAoQQIYBxKcpd8Il/jx97sLqVdsiANAggggAACCCCAAAIIIHBugbwXgz1602TQ1h+11Bta6t/s3hOjrjdB5PtSd/3cF2kAokrHV78YKCnpxRHmSUvWJatqenaYoE7khzJ5WJYlfZqeHrZGb1YyFFWedf1zqDDNQN12aQhmIXmd2cKG+Rt6YOQSPG8jQFvGNlpsiwACCCCwpwABjD0Bd00ejft6HOa9LmzZCra4w2jXvZIOAQQQQAABBBBAAAEEEDiwQN6LwR7pLetx0Z2E8mSp17Mkb/cgRmlJzf56QwX2SOF0kA0NFWncedT389uGQ1eZ7Xty5Wg0+tJw6KpXOX5UULnOHtX3Mvl8Wb1hbWhZKhuIqrSu+ULHUzxZH8CgB0YOxvOxBGjLOJYs+SKAAAIIVAkwiXeVzFGXR/p8T4MXZqK4MH7Tg33UHZI5AggggAACCCCAAAIIIHB4gSjvxeDImwUTzG7aMkGMkS25PUudvWeJjuSPfflRJJlJvD1HtpmTom9my5DSHiCBvpKJts2CmlmpTZk7VtobIpzoPsnBDCEVK176C00FVL7ObLvREFkm+LCU7+bvU0P7dt2MIF1Ndt7H9CjzcSSs/HNlArRlXNkBpToIIIDARQjQA+Nch+nOkfc2UTqvXc3F9bnKx34RQACBqxYwjSCvejHB5GyyUVNd23b08Pykwa6Tjl61GZVDAAEEEEBgSSAJXpheDLZGYT6JdSQzupMZMandbmswDXXTf0yGk2q9F3tMLOVVfNse6C28lxkxyQwB9fj9rLeJpZ/3noZ5Ht2Jpp7UeflRFP2k81g4nqZmBmu/r07PlZLeEVPFg2LmJrbS1dOzIymdSHv2a6xkmKj9hpBa2u/B30a1cZrdd9dO7HdPT8qrFqAt46oPL5VDAAEEmihAAOMsR6WtwWRylj2zUwQQQAABM2SEuesyl7Bl21IQBAoCV0HP1fua4SDylDwjgAACCCDwWwXmk/ea4EXhDv7oUy8LwzuZnhhThbdmMuyhrNa7HG/9ME8m+CH5eh0GCkysIXvYD/fZkFGSTBDDMj1AeulwUiZ4YR7did5GX7KGljoqH+Kp3Z1o8RfZbkNIKRnaKdtvVsZTPfl9SyZOc/DHwtBcB8+dDC9agLaMiz58FB4BBBC4UAGGkLrQA0exEUAAAQR2FIhCfcvMPWRGhDBDOkw1nU4Vx+kQDWZxMHxVOiDFjvsgGQIIIIAAAtcqYCbv7Xdk9VwFtiOvGLwwdW7f6M70aiwGGsziwVRxOErm/jNDSrU6fY39Wd+HUi2/n85R4U0qJuvOe4CYciwMX5Xuzwz/FJggxkbDV5UPE7VuCKk4D5qU1qBsoZnY208m8Y5Mj4+VPzNMVlm61WXdyeKQV+HOQ0gt5hMvWa7umSUIIIAAAggggMDpBOiBcTpr9oQAAggg0ASBdleTadmdkm3dP9gaJmNKfeknUjbMXxMKTRkQQAABBBCoFoj8sV5/pD83N9Ubbbnm5+dDuk+HWEqSmsDF64uGbtqF0czl91YVWKjal5m7Ir6Xb4aUcl0Ne66GFXf7m6GjTO8Cx8uHplrMdNYDZCW9md/iQ7dmSMjBVN53S73ho8b3hV4ii1nN3+0yhFSeut2e9wzJl5U+h3rtmcBM9cPx4u2vQczE5tZQsw6m1dmXrzljT5LyArEUAQQQQAABBBBIBQhg8ElAAAEEEEBgRSDQtxn02oxewQMBBBBAAIGmC/y8yx0GtY3iu1TBuZlk58JI/ix4YW80BFT1/rIhpf6M9fohPU0Gq6db0xhvxnp0PK12cAizAEggE0QJl4Mo/ofcwJX9Y+a0MqNJhfL+bHJTwo5DSGUVtTceftLSrW16qJQNbeWr3+pV061dszSc12z7dPjM99J9milDWtpnr7Pd8AIBBBBAAAEEEDiCAAGMI6CSJQIIIIBA0wXM8A2fen1515fM3BdNLy/lQwABBBBAoFogGZ5peaLq6s13WJMHHXypWzGc05a5truDkuBElknSU2O5QmYISDPMYy9pbLedkZ6fLIW+r2Si7Z8ffXy/y016iDh6HuR3IbRNkTd4mCGkVnt7+OO+Pr6l26dCb5QNcjvPJoGGVkvDqp0HllpVKwvzjFQlZzkCCCCAAAIIIHAOAQIY51BnnwgggAACZxQwQ0v0lI2AYUbplm3f6c4M2P3lFpafsYjsGgEEEEAAgQYKtDeLBByu5FEk//NTH+/D2fnZtm0FQaDAHarnzlvjzXLpTs7oWU+DdUEWM/dEoZj3bwrvJbOwuDjZ4tuV+zWSp6U0heTFl+nk48Ulp3xND4xTarMvBBBAAAEEEDiNAAGM0zizFwQQQACBhggkE4JmPS6cUajJ7A5NKRp/yaU7RkOOFMVAAAEEEPitAr6Z/8IMIZU9bNvRyHvSfbc4z0Qkf/wp3dzI2rpXSKhXq34einzf6fNQPWseLFlcV3i3Mh9HYR0vEUAAAQQQQAABBHYS+IedUpEIAQQQQACBixTw9ZHPmmmP9FQIXlxkdSg0AggggAACVyjQHTzLG3kKw1BxHGs6nWiwELxIK/3zPlTvo3zKKr/fUaffl7/SpcKk7WoSx0neJv/Vv1Aj06Ej6aVpnmylb0cKS7fP8piWzOdx0uOTDiHVarW0+GfJxIOCobW0PN3OTJbOAwEEEEAAAQQQaKoAAYymHhnKhQACCCBwYoFIn+/zuz1PvHN2hwACCCCAAAIzga66Zhiodqi+aYzvjFeHdsq2tW+tWarFF4GCr1tZ+VQYiytr3qUTXg+DdDimZzPEpB70Fo5kB0NZnaqgSE2WpatCRWbIqoW/0g03W5jMG1IWjDHL0oCMmWh8NViTpVmdLX2z/bIVAggggAACCCBwZAGGkDoycFX25kJ1/kimnZu/XRh7ta321hfd86x4hQACCCBQIRAM9erfa9I1X7KR/P5jcndixdYsRgABBBBAAIEzCdgP9zrFT6LIH+uxN1RgO/LCicwlgp/X2QQIwhv1H3vqWa5sx9PbZN1cG3ni4nOob9MbIuipalQq+ydSsvNistrX6+bnyH9vmqBJXUb89qzTYV0qQFsGnwQEEEAAgVMLEMA4tbjZn9+XVdlP100uiGfFYhzVGQUvEEAAgf0Funoa2XKzcbXdnqX5qAm2HMeWO5/de//dkQMCCCCAAAIINF8g8jV+fdHQDZLARFgVmGh3NZnGehr39TjsyXLN6FKOHp6X5+eoq3I6fNWkbpNt1/mvNb8vC5nVBE3MVqaHxpThNQtgvFwRoC1jhYQFCCCAAALHF2AIqeMbswcEEEAAgQYJtAdThZ5jhrOeP8zkoOFUkz/JOBHz5bxCAAEEEEAAgesUiMwk4GP1Oy21rJ6GX3caeaGmVcGLgkJ7MNE0DuU5toLA1bBnyWq11C+fcKOQ8kgvu5PqoaGSOTs2GELKzDVC8OJIB4hsEUAAAQQQQGAfAXpg7KO3a9rkAvOg99zsWhLSIYAAAr9SoN2daNot+R5umwaAkuW/UolKI4AAAgggcAkCy8MihQpD6eervuxR+Kre0PTDtOV4b9mQkvVpFte21Z1MFU9MIORVL99/dshjMcfyd+mQU3ooX7s4nE/5NtKmQ0il6duMYVwFyXLaMvgMIIAAAgicQYAAxhnQ2SUCCCCAAAIIIIAAAggggMBmAsHQUmtYse3KsEh20ssyCJLYREUiydzMEIZP2r+xvq3uYKJu5Z52WOH31eq5sm3Tw8NUxIRZSh7RWI/WUOkWJeuXF61YLW+Qvne8WMzpXW7DUgQQQAABBBA4vQABjNObs0cEEEAAAQQaLRD5fT32XAXMw9To40ThEEAAgUYKRD9a0/lhq2L/GXn6c2OSWLKsxaR1wQe/31JvTUHq0ud76k5ixfmbrZ+z3hPbjlDZ/SNHbjJPV3GOjZXdm4nF48HKYhYggAACCCCAAALXJNCK43j367FrkriAurRarQsoJUVEAIFTCfD1fSrpX7SfwiSmSa0bGsDgfPiLPpNUFQEEagW4FqjlYSUCCDREgGu3hhwIioFAQwS4fmnIgbigYjCJ9wUdLIqKAAIIIIDAsQRMr4uOjLVsnwAAIABJREFUmcTUlRzPTEx6rD2RLwIIIIAAAggggAACCCCAAAKpgAlyHvKvznWT/dSlZ915BBhC6jzu7BUBBBBAAIFGCYQfX7rzQr1122pL8j8aVTwKgwACCCCAAAIIIIAAAgggcAUCPz8/R63FsfM/auHJvFTgzAGMSFGUlmuT8UdLa1BYGGWZHSKvQra8RAABBBBA4OoFupPpYScgvXoxKogAAggggAACv1eAtozfe+ypOQIIIIDAqQXOGsCIxo+yhsHB6+x4sSbdg2dLhggggAACCCCAAAIIIIAAAggg8MsFaMv45R8Aqo8AAgggcFIB5sA4KTc7QwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEGiigJkng0ezBM7aA6M9eFN431bbDLZ9oIcZRuqQ+R2oWGSDAAIIIIAAAggggAACCCCAAAJXIEBbxhUcRKqAAAKNEfj73/9+srJU7euvv/46WRnY0fYCZw1gSIcNXpjq/9b5L/774P/Y/ugfMcV/Yv/7pblfSjlN4ZtU1irPppXTlKeqrE3yrCvnJZmasvJAAIFFgTiOFxdcyLu6u3yurU6XWh/zUao6TtSpOf/Rqo6RKeGlHqe6OjVHnpIg8NsEaMs41BG/lN+Jl1JOc1yaVNaq9oGmldOUp6qsTfKsK2fTTKs8TTl5ILCtAENIbSvG9ggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIHB0AQIYRydmBwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIILCtAAGMbcUOuX3ka9zvqNNqJUMSmO7hrVZHnf5YfnTIHZEXAggggAACCCCAAAIIIIAAAgggcAAB2jIOgEgWCCCAAAKbChDA2FTq0NtFY3WsnoZuoGAh70CBO1TP6qjvL6zgDQIIIIAAAggggAACCCCAAAIIIHA+AdoyzmfPnhFAAIFfKkAA4ywH3lffGs4CF7bjKQzD5M8b2VmJArm9vohhnOUAsVMEEEAAAQQQQAABBBBAAAEEEFgQoC1jgYM3CCBwNQJ///vfZf7iOE7+rqZiV1IRAhhnOJDR+EVuvl/H03TSVbvdTv66g6k8J1/p6oMIRo7BMwIIIIAAAggggAACCCCAAAIInEmAtowzwbNbBBBA4JcLEMA4wwcg/JbSfha2Rk/dlRJ0/8wiGPr6YTKMFSAWIIAAAnsLRPLHfXU6xTmIWup0+hqXTUJkuspn8xV1xun3cuSPF9NXpd27rKfJIIoiFf/yvYbF5flCnhFAAAEEEEAAAQR+nQBtGb/ukFNhBBBAoBECf2tEKX5ZIbqTqbqT6kpHP1+zlXc37dlrXiCAAAIIHEIg0rhjaTibgMiWbUtBECgIXAU9V++jUNNB4fu3faM7KRn6L/gOJf9VVm/Wly4tVOBq2HP17cWarMamD1Hw4+URjfVYGNpwviMzJ9Nw9tZedpmt4QUCCCCAAAIIIIDAtQvQlnHtR5j6IYAAAs0UoAdG446Lr9dZq5qtW6txBaRACCCAwGULRKG+Zac94RxPcTzVdDpVHIfKpyEKhq81cxB9qN9zZY/y+Yu8WToD476MdXF959oDTbOxPvMxP8ueF4I6l/0poPQIIIAAAggggAACBxWgLeOgnGSGAAIIIDATIIAxo2jCC3NXcG82P4Y9elPxBuAmlJAyIIAAAhcv0O5qMp2mDfYLXSXaun9IB/iTvlQ5gp/r6ivpiZDPX9TVYOppNvhf8K3w4pGoAAIIIIAAAggggAACmwrQlrGpFNshgAACCGwvQABje7MjpVga0sQe6Y3oxZGsyRYBBBBYJxDIjBRV/nD0vPL93NV8+qKa4Ed5hixFAAEEEEAAAQQQQOBCBWjLuNADR7ERQACBixFgDowmHKrIV9+a97yQPVI4Hagw+noTSkkZEEAAgSsSiBT5n3p9edeXzNwXW1TNvhWj+23hxaYIIIAAAggggAAC1ylAW8Z1HldqhcAvFPjrr78Wam2GVObRHAECGOc+Fn5fnZ6bTAxrisIEqec+IOwfAQSuX8BX3wzXNwtamEm873RnZun+cgvLr1+CGiKAAAIIIIAAAgggsJMAbRk7sZEIAQQQQGB7AQIY25sdLoXfV6vnZvnZcrw3Tbr0uzgcMDkhgAACqwJ+fx68cEahJoXhoKLxl9ytumOs5s8SBBBAAAEEEEAAAQSuWoC2jKs+vFQOAQQQaJoAAYxzHZFonPS8SHdvaxROmbD7XMeC/SKAwC8S8PUxixuP9FQIXvwiBKqKAAIIIIAAAggggMBuArRl7OZGKgQQQACBnQUaM4l3NO6o1eqo0+mrP46yCkXy+331+2ONfV/5UslMEmW27ajf72u2+c4Mp05o5rwYZsNGEbw4tT77QwABBMoFIn2+z8aVKt+EpQgggAACCCCAAAIIFARoyyhg8BIBBBBAAIEjCDSmB0b7xgw+7iYTqT685cMomWdXrrlb1nV0E3ezia3burkLFLhSoAeF+eZHADpGlsnwJVnGtvOse0WK5tGZxV2220zmvSjCOwQQQOAwAsFQr/59NnSfCZg/akj84jC25IIAAggggAACCPwSAdoyKg40bRkVMCxGAAEEENhWoDEBjHnB73RTFpBw/qg732j+6u7mwhr4I/18zYsfuD1Z+XAm88XzV46neFJa8/k2vEIAAQQQ2FCgq6eRLTeLVLg9S/OvYFuOY8udz+69YZ6Xv1nk+wqPUg1LXeZ2OoosmSKAAAIIIIBA0wRoy1g4IrRlLHDwBgEEEEBgd4EGBjB2rwwpEUAAAQQQWCfQHkwV3vT1+JL2+ku2tx2N3iYahP1fGcDQz4t6R+h+Yo9CdYnBr/tIsh4BBBBAAAEEEEAAAQQQQAABBCoEriqAEY37+ryfNHwy7LYG01iDigPCYgQQQACB4wu0uxNNu5PVHbUniuOS5epqEscqW5Nn0p3EKk2ab9Dg5/bgTXHdhOZ+X63el0bhdKtzbNXoiA2moGgIIIAAAggggMDJBWjLODk5O0QAAQQQuCCBM07ibSbibmUTd3fU6eWDeLjqdcyE3i21+v7GlGbiLGvoamh1tEWyjfNnQwQQQAABBK5XoGzsxv1re5xc9y8XOSCAAAIIIIAAArsL0Jaxux0pEUAAAQQQ2F7gjAGMvLCBgiDQwrypwcK7fMOK5x/5fRO8yNLYd9KPL+76rOBiMQIIIIAAAlsKRMnkTRXjOm+ZF5sjgAACCCCAAALXIUBbxnUcR2qBAAIIINB0gVYcx/HZChlFUju7PzMZnsL0wnDkxRN1FSlSW2G/pbxzhm3bkgl2OJ489WbL0/Lbcrw3Ta54slDTK4UHAgggkAuc8+s7LwPPv0Mg7eV4l52fz19nzofnPwaUAAEEmiHAtUAzjgOl+IUCtGVsddC5dtuKi40RuHqBv//9742q419//VVaHq6zSlnOsvC8c2DkwYvSqrdlQhthYZ3pqVH2sJ2R3iaDZPuy9SxDAAEEEEAAgT0FbNPBcYOhHa2urvhegj0RSY4AAggggAACVyFAW8ZVHEYqgQACzRCoCiDsWrq6AMnyvuq2XRd8rQtwrEu7bd3q9rVtXpe4/XkDGJVikfz+oz5u3/Qn38bxFE+60qxnRrbC8TRNlucb8owAAggggAAChxQIv4OkB+Qw7xJZmbmtUdiVOVvzQAABBBBAAAEEfp8AbRm/75hTYwQQ+K0CP//LvztZ1Zf3dfMv/8XJ9t2EHTVgDoxlBle9lqWeG0g3ZdN/pj0zllPxHgEEEEAAAQSOIRApmQLD3EgQx5V/4ciWxDwZxzgC5IkAAggggAAClyBAW8YlHCXKiAACCCBweQLNCGBEkfyPr0U929Efa3ER7xBAAAEEEEDg1AKhTAcM+7b+pJz00rBvVb/VqcvO/hBAAAEEEEAAgSMK0JZxRFyyRgABBBBAIBU43xBSkS//80Mv766Zl7vwMMNPTDXI5/YurOElAggggAACCJxYIPqRucXgrrRX5InLwu4QQAABBBBAAIFzC9CWce4jwP4RQACBXyvw1z/940rdf8P8GOcLYOhHL0NXeezCtpPhtRl+YuVjyAIEEEAAAQTOJxB9viuQrQe6VpzvILBnBBBAAAEEEGiQAG0ZDToYFAUBBK5AoG4i7UNXb5t9/f3f/vPOu98n7c47veKE5wtgtAeaet/qfNzq+WmgbthXa+3koFd8JPas2n/1r8M9czhs8v/iPytv6bqUchqNJpW1yrNp5TTlqSprkzzrynlJpqasPBA4rkCkz3czftRI92XTUs12ns2TcXej2s1m2x/vxaXefdJqtSpRrq1Ol1ofc4CqjhN1qvz4nnxF1TEyBbnU41RXp5MDs0MEEJBoyzjop+BSfideSjnNwWlSWavaB5pWTlOeqrI2ybOunE0zrfI05eSBwLYC5wtgmJJ2J5p2syIfoP098n2p2z1748m2B4HtEUAAAQQQaKRA9Kk0fnHPubWRB4hCIYAAAggggMBZBGjLOAs7O0UAAQR+u0Des+PmX/6LX0XRjEm8tySPoqg8xc+LrFZLnf5YFVuUp2MpAggggAACjRWINO60kju/W62+/BOW038dKpCj53xiqsp9pxN9V65mBQIIIIAAAggggIBoy+BDgAACCCCAwPYClxXAiHyN+x1Zr/XdNQIz2+glPLL6dFp5w5R57iQBGJ8IzCUcQcqIAAIIXK9ANNaLa0aPelLeWXJdZe3b8uED16VjPQIIIIAAAgggcNUCtGVc9eGlcggggAACxxW4nACG+6KO1dPQDVTeQJKN0228GjAG99rD5vdn9cknMk/TBArcoXpWS/1T3ma7tsBsgAACCCDwewR89a1Ne1/8HhVqigACCCCAAAIIbC1AW8bWZCRAAAEEEECgKHDeAIa5C8H35Zu/n5JuE9ndn2mBAyUN/baj5/u2rFs7Xez2smE1LA3TDTR62vRe0SLFKV/76vfctD6y5Yw8hWGY/HlOVi9Jbu+0Q4WcUoB9IYAAAgg0VcAMWdWTK8nxJpv1voh+ZM7idzfnnsK7qaaUCwEEEEAAAQSuSoC2DIm2jKv6SFMZBBBAoMkC5w1gtC3ppader6deGn2Q7FvNBqBo3+shb8+3HXlhrHg6UbcttQdvGhUa+xNk29bIe9PaobrPfESi8UvSMGSKYY/eNBl01W63k7/uZCrPyQvo6oNeGDkGzwgggAACxxaIfPU76Q0B9ijUZMP7AaLPdwWyxQhSxz5A5I8AAggggAACjRCgLYO2jEZ8ECkEAggg8DsEzhvAUFv3SYTClm3bcpyRvLeB5vdvtjV48zTywlngYn5Y2hpMporjeP43nWpgohsNf4Tfkp0EZmw93K+Wd9a7pOH1oHgIIIDA5QpE8sd9dWaTY6dzEXU6fY2rJiGKxsrnLOqMzURFkfx+Z7asZeYzqkq/T9pNkMvmVOp01K+qy0qeaV1aVk9uINmOp2nl3QDZpOKdjjrJX0uWuQnBflDJKW1lTyxAAAEEEEAAAQQuX4C2DNoyLv9TTA0QQACBSxH427kL2h5MFQ9qStHuNr5HRU3pS1eZXhZ1N7WG3/msGNzNWgrIQgQQQGAvAdMAnw87aDIyQXQpCAIFgaug5+p9FNY04EvB96v6LXfWm25WnMDVcE36fdLO9lN8YeZUmg1LWFgRBHJ7lr5MMGJtV4q2upM3eXrUy+1bbd2V3XwwHOZDO5qhEJ/1ZHoTFnbPSwQQQAABBBBA4JoFaMtYPbq0ZayasAQBBBA4pMBf//SPK9mZm/uv/XHmHhjXzrtt/dI7YHtm4HHTpOY8X13wZlsRtkcAAQQOLhCF+jZBC5Ox4ymOp5pOTY++UKNs2MJg+KraEfxcE7wwwxaGs16AoeekeUoKho9KOmmUFX6ftCv5FedUyoZaTHomhrPhCAO3p35tZfJMTRBjuiZ4kW6b/GDPe0BOp+lQiHk2PCOAAAIIIIAAAgj8MgHaMn7ZAae6CCCAwEkFCGCclLtkZ4VhRVotS71k7A5bjhducMdsSX4sQgABBBCoF2h3NZlONTUN8As9E/KhAEzyL/2YUaIqH7ZG4eKwhe3uRG95BESB3j+rMtgn7WKBinMqJRNuz7pAmGCEp3xKJfdlvJiQdwgggAACCCCAAAII7CNAW8Y+eqRFAAEEENhCgADGFlgn3fQnVFXT10nLwc4QQACBXykQ6DusqXjFfA/t+4d5L4z3z/Lv8X3SLhQp0ud7PuSgoz8rYxNaus16lCj4XkjJGwQQQAABBBBAAAEEjiJAW8ZRWMkUAQQQ+M0CBDDOffTbA72FoULz53kaOclA7HKHPVmdcXnj17nLzP4RQACBixeIFPlj9bNJqJMJuFvZZNSb1O3upny+h/aN7vL0wbdKYyD7pM3zTp5DzaZMkquemUR84a84z8fXQkreIIAAAggggAACCCCwlwBtGXvxkRgBBBBAYHOBs0/ivXlRr3fLdjsb86Pd1qDb1f1tR9YwMIOo63F8v9F45NerQ80QQACBQwv46nd6MiP2pQ8zifed7kzk4cstLM/XX8iznc3rUVrcWVildC0LEUAAAQQQQAABBBDYVoC2jG3F2B4BBBBAYBcBAhi7qB05TTIEyTCQaVsLkjFMZoOaH3nPZI8AAghcv4DfnwcvnFGoyWD+HRuNv+QGs8jGfhj2raxdc9g6rSNvOtHKKFK77p90CCCAAAIIIIAAAghsKUBbxpZgbI4AAgggsJEAQ0htxHTAjSJz529HHTPMB0NEHRCWrBBAAIFNBHx9uNl29khPheDFJqln23z9lA/xF/1o7WBN+6SdFcC8KMxxsXbS8YWEvEEAAQQQQAABBBBAYDsB2jK282JrBBBAAIGDCRDAOBjlhhm1Ld0q7V2h4F2fJTN1R5/vSe8Lk6N9u/P9uxsWiM0QQAABBFKB4qTYa0w2+f5+uC+fJ2OftAvFauv+YTZLt95LTijRuKNOfyy/5FyzkBVvEEAAAQQQQAABBBCoE6Ato06HdQgggAACRxRoRgAj8jXuZ70SZhOQbtjosk/aI8JWZ73Y4DS0OuqPfUVRlPz542z+iyQDWw/386FNqvNkDQIIIIDA1gLBUK+zlv1Ifv9RZvqhzR6BzPf3eJZeivx+On9RkoGj58reHfukXSxde/AsJ1sUDC31S8oTuEP1Xv3FhLxDAAEEEEAAAQQQ2F9g1/aIXdPtX+I9cqAtYw88kiKAAAII7CFw/gCG31fH6mnoZr0SZpUJlDS6WC31q9pdovGatJ3qtLP9nP5FezCV58zvmnWHPVmWlfz1Cq1n9uhNle1fpy82e0QAAQSuQKCrp1H+/Su5PUutJHBuqedKzuy7eU1VHUeOAg1n6VuyTAbJw5bj1cxHsU/alWJ1NfEc5TWa16dQHtuRN2F2jBU6FiCAAAIIIIAAAvsI7NqWcaHtGIaKtox9PjCkRQABBBDYVeDMAQxf/Z6bDZdkyxl5CsMw+Zs38JsGpr5WYxi++tZwPtSSU0g7a5wKKtLuynW4dN3JVKE3kmPnzU553rZsZyQvjDUlepGj8IwAAggcTMD88ApNo3/x69d2NAqnmvy523A/fzSJQ42WAh62CRaYfGrjBfukLSled6Jp6CVlKVbJVDA5rzK5dwkaixBAAAEEEEAAgX0Edm3LuOx2DCNGW8Y+nxvSIoAAAgjsIvC3XRIdKk00ftHsftXRmyaFBvv2ZCpPreSOWMnVhz9Rt9AgVEwrx9O00FqU3BXwXZ32UOXfN592d6CJ+ds3I9IjgAACCGwl0DaN/t2Sb9/2RHFcsrw097YGk6kGm26+kMc2adsaTGMNFtIvvWl3NZiYv6XlvEUAAQQQQAABBBA4uECxPcKMnLBpW0Yx3aW2YxhM2jIO/pEiQwQQQACBGoGz9sAIv5XdAVs+14N1u3Av6UI1krTJElujp0JkI9uq+ycfFVz6+mH20gU83iCAAAIIIIAAAggggAACCCCAwE4Cu7Zl0I6xEzeJEEAAAQR+ucBZe2CYroeroYf5EQm/89lUbd1a8+XmVZK25k7T6OdrluDuhomwZxi8QAABBBBAAAEEEEAAAQQQQACBnQV2bcugHWNnchIigAACCPxigVYcx3Hz6h/J7z+q56YBDHtpiKj15fXVb/Wy4ansZFzzwuhU65M3dAsz0SwPBBBAIBdo5Nd3XrhrfE4mXMzmXnI8xYWhC9dWd5+0azP/fRtwPvx9x5waI4BAuQDXAuUuLEXgfAL7tGVcZzuGORZcu53vE8meEWiiwN///vdGFeuvv/4qLc/f/+0/ly4/18K//ukfK3d97deEZ+2BsaBebNzJV5gJSJ/fNOlu04Mi0riTBy8kMx7lNQQvchKeEUAAAQQQQAABBBBAAAEEEECgIQIHacugHaMhR5NiIIDAGQSqAgi7FqUuQLK8r9ptawIGpmx1AY66YMMu9arbl8nvUIHiukDIPvuoy3cTj+YEMKpK+xMq6ra1WQjDnPQtDWcjT430RvSiSpblCCCAAALbCLQHmsa1U2lX57ZP2upcWYMAAggggAACCCDQVIGN2zJox2jqIaRcCCCAwG8T+P/+t/+pkVU+6yTeCyLtgd7CUKH58zyNHFsKArnDnqzOWGun4Y5Md8vF4EU4HWwY+FgoCW8QQAABBBBAAAEEEEAAAQQQQACB9QL7tGXQjrHely0QQAABBH69QHMCGJLa7Xb61+1qMJkqHNnpAQqGehzXhDD8vjpWcdioUDHBi1//4QYAAQQQQAABBBBAAAEEEEAAgWML7NSWQTvGsQ8L+SOAAAIIXIlAowIYy6bt+wdlIQwF3+Hy6vS931er5yqb7luOF2rKsFHlVixFAAEEEEAAAQQQQAABBBBAAIGjCqxty6Ad46j+ZI4AAgggcF0C55sDw3SVfHzRVxAosEfaabgnM1lWz82OiK1ROGXC7uv6fFIbBBBAAAEEEEAAAQQQQAABBJojsG9bBu0YzTmWlAQBBBohUDeR9qELuM2+1k2cXVe2fdLW5Vu17v/9X7+rVh1s+a77+Pf+g/9o7zKcL4DRtnSrQEn4IXjXZzRYCT5En+9ZzwrJvrWWKuurbw1nPS9+e/DiP/5P/5sln/O+/R//2/+8tACXUk5T+CaVtcqzaeU05akqa5M868p5SaamrDwQQGBRII7jxQUX8q7ValWW9NrqdKn1MQeo6jhRp8qP78lXVB0jU5BLPU51dTo5MDtEAAFpr7YM2jGWP0KX8jvxUsppfJtU1qr2gaaV05SnqqxN8qwrZ9NMqzxNOXkgsK3A+QIYauv+wdYwMIM/BRpaHX2PnvV0nwYqws9H9YbpwFCSrYf79kLd/H5hzgvnWfeKFFVNk2Hm1lhIzRsEEEAAAQQQQAABBBBAAAEEEEBgW4Hd2zJox9jWmu0RQAABBBCQzhjAkNqDqbzvjnpuGsRwhz25w9XDYo/elnpnRPr5mm8XuD1Z+UhS88XzV46neNKdv+cVAggggAACCCCAAAIIIIAAAgggsIPAbm0ZtGPsQE0SBBBAAAEEdPZJvLuTqUJvJMfOp+vOj4ot2xnJC+NfMym3328lQxOYbuKtzlhVHUpyIZ4RQAABBBBAAAEEEEAAAQQQQOD0ArRlzM1py5hb8AoBBBBA4PACZ+2BkVen3R1oYv7yBWuf2xpMYw3WbndBG/h9zeYjv6BiU1QEEEAAgesRiMYdWUPpt88rdT1HlJoggAACCCCAwDEFtmvLuMJ2DINLW8YxP2LkjQACCFyswN/+w9uFsu8zH93Ze2As1OTXvvHVJ3rxa48+FUcAAQQQQAABBBBAAAEEEEDg8gRoy7i8Y0aJEUAAgcsTIIDRgGM2m8jLduQsj6TVgPJRBAQQQACB3yHQHrxpxHnodxxsaokAAggggAACCOwpQFvGnoAkRwABBBDYSIAAxkZMR9xo1t3S1ujtSYuda464X7JGAAEEEEBgRSDUd3Cnm/bKChYggAACCCCAAAIIIDAXoC1jbsErBBBAAIGjChDAOCrvuszn3S3t0ZsGNBitA2M9AggggMAxBfwPuc4fdY+5D/JGAAEEEEAAAQQQuHAB2jIu/ABSfAQQQOCiBAhgnPFwzbtbjvRG9OKMR4JdI4DAKQX+9//zn/Wv/vW/OeUu2demAt2J4gnhi0252A4BBBBAAAEEEPiNArRl/MajTp0RQACB8wkQwDiXfTTWi2t2boaOGojOF+c6EOwXAQTOIfCv3v/N2YIY0bijVquV/HXG0WL1/f5sXavvL66Lxupk6VqdsZZSLm7LOwQQQAABBBBAoELg3/3f/0/FGhYjcAECtGVcwEGiiAgggMB1CRDAOMvxjDR+HCow4QuGjjrLEWCnCCBwfoFzBjHOX3tKgAACCCCAAAK/VeDv//P/pf/yv/4ffmv1qfdFC9CWcdGHj8IjgAACFypwEQEMv99Spz+WfyW3u0bjRw1N9EKOnhk66kL/61BsBBA4hABBjEMokgcCCCCAAAIIXJrAf/f/s3f3sM2sfX7ff3zObe8i8R64WG9e9iBPjOXo9ioqHcAYVm4WIAUYKgKlVGMMjcAA2agTHMRQp4YEUpiDNCpSRHBxI4g4QBpXHLhYIClkxfc9AxgnOAkcZwvj7Gaza581jWteyCE5Q/GdM+SXD/SInJfr+l+foaT7zJ/X9f8n7yQxqnbRNoiXexkboHEKAggggAACcwLlT2Ak0xN9t6uW1dD8ih5z4yn/y7Cvuzh7IWc4oFBq+a8YESKAwJ4FDp3EqHdGGo/H0ddoPolsakAk+xZqQdQ7GqX7Riz9t+e3Bc0jgAACCCBw8gIkMU78EnMv48QvMMNDAAEEEDiUQOkTGOHrS7TUUgxypZuK1xbNjsdtxWuwp2ux12pWMjNDkt+Vlay1XvmkzaHezfSDAAKVE/ju029EMR86iVE5qCoEHNUIaajR9qgPUoXrRYwIIIAAAqUQIIlRisuwlyCy/+0vcS9jL8g0igACCCBwFgLlTmBkZivEV8NVi8KE7iMLAAAgAElEQVSpZ/HGZJAIIHAeAt//Tl2f/vJ/EA2WJMYpXHNfurRUP4WhMAYEEEAAAQQOJEAS40DQh+yGexmH1KYvBBBAAIETF/hU3vFNi0NJtpzeldyuG89MaF9oYWmP8g5kJrJ651nB9cymzItAr3eteBaG3dPw+VqWpDp3gjJGPEUAgVMSqP3qO/3V//hv6F//y3+uX/7Nn8okMczj7/3Xf+uUhlmJsYShpyCwZJk/PHOPIAgkWbKa9Q+TE1cX/NGa4+MlAggggAAChQK/+Vd+W3/2J38kk8Qwj3/49/+g8Fh2VEWAexncy6jKe5U4EUAAgWoIlDaBMS10Ldm9Zw06dd3rTZapH+G2VNNQwaD54Y2U8l2G+soJCav+8Y2i8o2PiBBAAIH1BEhirOe1r6ODp5Za7rLWHQ3Hgwr+3V02JvYhgAACCCBwXIHf+u2/HgVAEuO412GXvXMvQ+Jexi7fUbSFAAIIIFDKBEboteNEhbk+dk/PSZFVU3g1UGOSxLDeegoopMq7GAEEEPhQ4A//2U/6w7efPjzuEAf88Z/++UI3JDEWSA6+oTkYazzI79Zr19R6u4xmBeYfwVYEEEAAAQQQ2FSAJMamcuU7j3sZ5bsmRIQAAgggUH2B0iUwwn6SoDC29mKCYiaJERW6flFv+KxOkyUrqv92ZAQIILAvAZO8SJdn2lcf27ZLEmNbwX2dH+rbm6SrC9VDT17BMlMyq0xFj1BhaJ4E8ZJUKyw7lZzINwQQQAABBM5WgCRG9S899zKqfw0ZAQIIIIBAOQVKlMAI5bXv1HL9WCqTvDD/ELh7v9LV5aVurjtqmpkYF23dtVz58tVtWXpxenq476jaeYy6OqOxOuV8rxAVAgicgIBJEnz6jbhodhmGU6v9aiYMkhgzHAd/Ef291bNGyczHOIBA775k31oKX+/UMks5Lnn4LUvTlahYdmoJFbsQQAABBA4o8Hf/239cmtmoRcMmiVEkU/bt3MuQuJdR9ncp8SGAAAJVFihFAsNMs4yTEQllJnmR4vquSVbYujQJDFPYujnQKLhR+64lk/Pw3a5ablf2SSQy0lHzHQEEENitgEle/NX/6G/sttEdt0YSY8egazbndy21L8YamD+25hF+UzwBo656c6RxUZY97KthdXU1zJybNME3BBBAAAEEEFhNgCTGak5lOYp7GWW5EsSBAAIIIHDKAkdMYIQKvSfdPbryMx/mtHvB3Cc/s/xXusiuFFVvajAKdNOffiI0SmS8idoYWTaeI4AAAhUTIIlxnAtW7zyr92Kp22rrZjyIPjAQvr7Il6OHNKFxnNDoFQEEEEAAgZ0I/OZf+W2ZrzI/SGKU+eqY2LiXUfYrRHwIIIAAAqclcMQERl1mUe1J8sJ21HseaGbVipWs69GSUuNrL56NocW6GSs1U/GD/vd//N9UYgRVidNgViVW4tz9W78qprsfeblaJIlxjOtRV+e5pxerq1b7RuNBU0G8flSmgHcor/8qmRmR2Q8VHCPcnD5rtVrO1mpvOrUxndp4zLuLMVXjZ+wUr1M15MsV5XeffkN/6Td/q1xB5URDEiMHpTSbuJexy0tRlf/2qkqc5tpUJVbi3OVPUtxWVUx3P3JaPHWBIyYwpKggt6ll8eVGz4OmtroPEs3GGGtw6leM8SGAAAJnJEAS4wgXu97RaPiuWqul9mVPpqCF3bue/o0OX/XY7cp/v4gSHEeIkC4RQAABBBA4CwGSGOW9zNzLKO+1ITIEEKiewOfPn3ca9NevXwvbm+9r6bG//r6wHbPj648/F+7//MG5hScW7FjWlznl0w+XBWeut/mXn94LT9imj/F4XNjuKjtmq6eucsaOj4lqWWybvNhxTDSHAAIIIFAegTSJ8ekvx8XH/9HLP9U/+p/+aXkCPMVImgMNHcntduXK1u115iMG9Y6ee7bkttT2TnHwjAkBBBBAAIHyCJgkRrrk1f/8T971D/77/7U8wZ15JNzLOPM3AMNHAAEEEDiYwNETGAcbKR0hgAACCFRWgCTG4S9d874n23Rr3yqbvzCboloZJofx2Fd4+NDoEQEEEEAAgbMSIIlxVpebwSKAAAIIIIDAnAAJjDkQXiKAAAIIlFPAJDG+/53pTAAzE+Prv/h/yxnsCUQVF++W5Hd1159PU9TVeXAK9p3A4BkCAggggAACJRMgiVGyC0I4CCCAAAIIIHAwARIYB6OmIwQQQACBbQTG/+4v9PO/mt5I/4d//w/0+a//tW2a5NxCAU9PXV9yetFSUn73Tgs5jOa9zEpSUlDYCjsQQAABBBBAYHcCJDF2Z0lLCCCAAAIIIFAdgaMW8a4OE5EigAACCBxTwCQv/vW//Of65d/8aRSGSV78nb+9myJVxxxXOfsO1W+05MrRcNBRUxdy3Ja6T546g2Ym5Lo6o7E6mS08RQABBBBAAAEEEEAAAQQQQGAdgWWFtNdpZ5Vj1+nro8LZy/rb5txl7RbtW1Z8u+icdbdv2sd3v/v763a1cDwJjAWSam7Ytpr7rkddq9Vym6xKnCb4MsVa5Fm2OE08RbGWyXNZnFUyNbGew4PkxWGvste2FE2+GA4UpyuaGgwdua2W2jdjzeQwDhvaSr2V7XfNSkEv+d1pzj+1MVV1POZaVOVv3Krvu1McU9E1OsWfpXWuM8eehsAf/9G/0J/9yR9FgzEf5DAf6OCBQNUFyvbvgqK/I1WJ07wfyhRrkWfZ4jTxFMVaJs9lcZbNtMjTxMkDgXUFWEJqXTGORwABBBA4mADJi4NRRx157YZarmT3gtlERbJclNtqyztsSPSGAAIIIIAAApJIXvA2QAABBBBAAIEqCXz64VLmyySztk1okcCo0pUnVgQQQOCMBEheHPBih576jZpari/bGWrUmRZLj6OIi3bbzo2sA4ZFVwgggAACCCBA8oL3AAIIIIAAAgictwBLSJ339Wf0CCCAQCkFSF4c9rKEr1/04itOXhStEdUcaJQtgXHYEOkNAQQQQACBsxRg5sVZXnYGjQACCCCAAAIZARIYGQyeIoAAAqcu8Muf/6n+9f/zz0szzO9/+/f0q+/+0kw8JC9mOA7yot4ZaNQZrN9X2Ffj7iU+z/fly9YtUzTWd+QMBBBAAAEEcgRIXuSgsAkBBBBAAAEEzk6ABMbZXXIGjAAC5yxgkgP/9v//49IQjMf/biYWkhczHOV/Ub/WrbpR0W/btuU8PGth9anyj4IIEUAAAQTOSOAvfvlz/ds/K8+/hf7Sb/5Wrj7Ji1wWNiKAAAIIIIDAGQpUIoFR74w07pzh1WHICCCAwI4E/ubVD/p7+ls7am27Zv74T/9c/+P/8r8tNELyYoGkAhvq6ozG4k90BS4VISKAAAIIRAJ/9id/JPNVlsdf+8//y4VQSF4skFR2A/cyKnvpCBwBBBBAoEQClUhglMiLUBBAAIFKCvzN/+IHma8yPP7vf/XzQgKD5EUZrgwxIIAAAggggMCxBUheHPsK0D8CCCCAAAIIlE2ABEbZrgjxIIAAAmcmQPLizC44w0UAAQQQQOAIAv/Df/dfHaHX/C7/8J/9pL/7D/7xwk6SFwskbEAAAQQQQAABBEQCgzcBAggggMDRBKLkxb8K9cu/+dMohn/49/9Af+dvXx4tHjpGAAEEEEAAAQSOIUDy4hjq9IkAAggggAACVRD4VRWCLEOMYb+hWq0WfTX64WxIXnuyr9b2ZveFfTWS82qNvubOnD2WVwgggMCZCfxM8uLMrjjDRQABBBBAAIF5AZIX8yK83qUA9zJ2qUlbCCCAAALHEChRAiOU53kKw4Jb/KEnL3eXp3ajobYXkhw4xjuIPhFAAIEtBP7ilz+PzmbmxRaInIoAAggggAAClRUgeVHZS5cJnHsZGQyeIoAAAgggsHOBEiUwAn1ptWRZlmq1trLzGEKvrYbVUsua3R5peF/k+r7cliVr7ryda9EgAggggMDOBUhe7JyUBhFAAAEEEECgIgJ/9id/FEVqltA0/ybiUUUB7mVU8aoRMwIIIIBAdQRKlMCYojnDgZrTl6pb6XrorlpzyzB5X9z4SLunYDx7XqaJrZ/WOyONx+Poa9Spz7bXHEz2jQfZyCXVOxol541HHc2dOdsOrxBAAIEzEyB5UaULHqrfaGhhGcUqDYFYEUAAAQQQKKEAyYsSXpQNQ+JexoZwnIYAAggggMASgVImMBbiNUmAoRNv9ruyJnUmPKX5C+eB5MCCGxsQQACBEguQvCjxxckNra7rW8nvWmq0PZZtzDViIwIIIIAAAusJkLxYz6tyR3Mvo3KXjIARQAABBMonUI0EhnFrDhT07FjQfZSpox32HxXNv7B7up+b+FA+aiJCAAEEEEgFSF6kEtX6bmYjBkNHvtuKPkyQW5qqWkMiWgQQQAABBI4mQPLiaPSH7Zh7GYf1pjcEEEAAgZMT+FT6EXlt1VomTWHLtv1JuC93DXX95LX/orvGi+T7Mluc4VjzKzlNTuQJAggggMBRBf7T3/lef+d30qUBjxoKnS8ImCKUkmUt7JhusO41dN70aC5hGBbOxAjMZw/qLJw4heMZAggggAACUwGSF1OLk33GvYyTvbQMDAEEEEDgsAK1sSnscJSHp3atFc2gsG0zs8I3+YfkEb82LxzHkesmdS7S3R98P9UERq1WKxz50S5jQURFsVYlTjOsMsVa5Fm2OE08RbGWyXNZnJgaAR7nKzD927y1gTPUQl2orRuNGyj6PWP2lu13zapDPqcxVfUamWtZdJ0Y06rv9P0fV3SNTM9VvU6nOKb9vxPK3cMf/39/rt/6D3+j3EES3RKB6b+XuJexhCmzq0q/x4piLdvfkKI4DXuZYq1KnMatKNYyeS6Ls0rX/uvXrybc0jw+f/6cG8vXH3/O3X6sjZ9//X1h17/89F6471g7Pv0w+8HVbX6WSrGElG9mTkySF4Y18+JmoCAtgp1+D3qKF5NyNEy3pd+DgNkXx3pn0i8CCCCAwEkImA8CmH9cbPXFVMiTeC8wCAQQQACB3QuQvNi96bFa5F7GseTpFwEEEEDgnASOmMBoapC5OTKpb5EsARXfNImTEWstQMFyFef0/mWsCCCAAAIIIIAAAggggAACCBxQgHsZB8SmKwQQQAABBHTEBEZWP9Try3TWhfvYT9bUXit1kW2Q5wgggAACCCCwc4FQXt8rrHux8+5oEAEEEEAAAQQQKLUA9zJKfXkIDgEEEEDgJATKkcAIX5XJX0h+V1ajLS8lNsWvajXVag01Gg017rrJIlOuWua1+Ur298P0JL4jgAACCCCAwC4Fwv6dWt2WniZ/oOdaDz15IX+I51R4iQACCCCAAAKnKsC9jFO9sowLAQQQQGBLAVOXw3ylS1Nv01wpEhjeU5qQyAzFN8mJTBIj2mVqZczVy4he+9mqGZlGeIoAAggggAACuxKodx7kSJrOlJxtOXx9VMuyVGukMyln9/MKAQQQQAABBBA4JQHuZZzS1WQsCCCAAAJlFfh0/MA8fXFno3B6Pb11u/KjJMalgtFAQTDQpLxF2FfDMkkPU8R7oGZ6uvnU55muOmVmqFThUZU4jWVVYiXO3b/zq2K6+5HTIgJzAmGosF7P/Glt6r5ny+2+6DXsqDPzNzdZQsHuKRh1MufMtbnnl6f483tqYzq18Zi3NGPa8w/2jpo/xeu0IxqaQQCBjQS4l7ER29xJVfndXJU4DW9VYiXOuR+GHbysiukOhkoTZyZw9ASG124pyl/Ytmwzm8JcgIuORsN31Vqu7Nvr+CbIzE2Sgqs0yXAU7GczAggggAACCKwo4KltteQ6Q40Hk48KKJqF0W2p++Spk9muZAkFu5f83V6xFw5DAAEEEEAAAQSqKMC9jCpeNWJGAIEyCnz+/HmnYX39+rWwvfm+lh776+8L2zE7vv74c+H+zx+cW3hiwY5lfZlTPv1wWXDmepvNkk9Fj236MMtIbfM47hJSYV+PyewL5+FBV9mRNAcKhoFGsx/vzB7BcwQQQAABBBDYm0A820JuS+2ZmhdN3cTrSClbdyp8fYlmRj7wd3tvV4SGEUAAAQQQQKAkAtzLKMmFIAwEEEAAgXMQOGICw3yyM6194ehm+uHOiXu9ucq0i8nhmScUEM1g8BQBBBBAAIGNBOqdZ/XsxZoXzfuebPl6eU3/3np66vqye/fTZR036pGTEEAAAQQQQACBsgtwL6PsV4j4EEAAAQROS+BoCYzQ+ybZMWbhDQ+vHa3dZ9Zwm/maJD5cteb3Ra/vZj4VelqXjNEggAACCCCwJ4Hwm95mmq6r8+BIfld32ekW9Wvd2pL/8qooheF9kStbt9ebfvBgplNeIIAAAggggAACpRXgXkZpLw2BIYAAAgiUVGDb+ixHS2DUmx0NRmMFw6GeWW6ipG8vwkIAAQQQOD8BW5dWZtTNgYZRDuNJ05Wk6rq+deTcXkgK1TfrQToPc0W9M23wFAEEEEAAAQQQOBEB7mWcyIVkGAgggAAClRE4ehHvejNn7aiUz9TBCAZaqM0d9tWIZmE4Go4Hi8tVhKHiyt9pQ3xHAAEEEEAAgQ8Fgnf5km7nDoyWjHK7euzfq5l86KDeGWhgjvPa6vq2es9L/p7PtcdLBBBAAAEEEECg6gLcy6j6FSR+BBAoi8CyQtq7jnGdvj4qnL0stm3OXdZu0b5lxbeLzll3+7p9bFP0ez62oycw5gOaf72QvJg/IO/1RiflNVSdbdtWc9/1SIumBlUlTuNRpliLPMsWp4mnKNYyeS6Ls0qmJlYeCOxSIPz2Jtm3WlgJKloyqqtu90leJ/vBgXT2xbA0sy/K9rtm1etT9LvTnH9qY6rqeMy1KLpOjGnVd/r+jyu6Rqf4s7R/TXpAAIFtBDa6LbHRSdtEefxzy/Y3tOjvSFXiNFe0TLEWeZYtThNPUaxl8lwWZ9lMizxNnDwQWFeg9AmMdQfE8QgggAACCCCwiUCo1xdfunrImcRoamH0JF3Pznr0nph9sQk15yCAAAIIIIAAAggggAACCCCAwEoCR6uBsVJ0RQclS1xIb/oWVQ8tOpDtCCCAAAIIILCSQJSMkJybgqWgmh11mtki3ensC2pfrOTLQQgggAACCCCAAPcyeA8ggAACCCCwtgAzMNYm4wQEEEAAAQROTSBJRshRlL8IPXmylK3lvTDi17tk9oWl0NSemn8EgWQ1F+tYzR/HawQQQAABBBBAAAEEEEAAAQQQQKBAoDwJjPCb3pIg38y0iplPeRZEz2YEEEAAAQQQ2FIglNe21PUlu3cfLREVvj6qZTas8OhalroFxznDsQbZSRsFx7EZAQQQQAABBBCorAD3Mip76QgcAQQQQKAaArVx2arRVMPtKFEuK4BTtstYFGtV4jQXuEyxFnmWLU4TT1GsZfJcFiemRoDHuQmEXlt3j5d6HnVy6l+UT6Po94yJtGy/a1bVO6cxVfUamWtZdJ0Y06rv9P0fV3SNTM9VvU6nOKb9vxPoAQEEyiRQpd9jRbGW7W9IUZzmupcp1qrEadyKYi2T57I4q3Ttv379asItzePz58+5sXz98efc7cfa+PnX3xd2/ctP74X7jrXj0w+XM11v87NUnhkYM0PiBQIIIIAAAggcSqDeHGhUUPriUDHQDwIIIIAAAggggAACCCCAAAIIIDAvUM0i3vOj4DUCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgiclAAJjJO6nAwGAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHTECCBcRrXkVEggAACCCCAAAIIIIAAAggggAACCCCAAAIIIHBSApVIYHjtmmqNhhqNhtpeeFIXgMEggAACCCCAAAIIIIAAAggggMDpCXAv4/SuKSNCAAEEEDi8QCUSGBGL78vXlW6a9cMr0SMCCCCAAAIIIIAAAggggAACCCCwrgD3MtYV43gEEEAAAQRmBCqRwLAu7SToS1kz4fMCAQQQQAABBHYlEPYbavSZ6bgrT9pBAAEEEEAAgfMW4F7GeV9/Ro8AAgggsBuBT7tphlYQQAABBBBA4BQE/K6lhgKNOtMZj2HoKZC1+ocIgkCB1RSTJk/hHcEYEEAAAQQQQAABBBBAAAEEEDieAAmM49nTMwIIIIAAAqUSqHdGGr431JpLYgRPLbXc9UK1e4GamSTIemdzNAIIIIAAAggggAACCCCAAAIIICAdPYFhlquwun50LWw7XSpq7tL48X75Xd01XuZ2Tl/65ji7p2DU0fRzo9P9PEMAAQQQQACB5QLNwUhD1aIkRvtirEFTag7GGg+Wnzfd66lda0kX/CWemvAMAQQQQAABBE5NgHsZp3ZFGQ8CCCCAQFkFjp7AyMJECYjshpznqxyTcxqbEEAAAQQQQGBFgeYgUE+vum6ueAKHIYAAAggggAACZyywyn2KVY45Y0KGjgACCCCAQKHA0RMY9c6zgk49f8ZE2FfD6iqZf5EMwlYvGKloVYowVH5bhQTsQAABBBBAAIFZgbo6g06yKZTnBbIsa/aQ+VfUvZgX4TUCCCCAAAIInLAA9zJO+OIyNAQQQACBrQV++ek9auO73/39rds6egLDpBuKFpnwnuaTF2a8vrpPnjpmTYucR72osZxj2YQAAggggAACHwiEr3ps5f09XjwvrnuxuJ0tCCCAAAIIIIDA6QlwL+P0rikjQgABBBAoo8CvyhhUFFPY12NSMHShNobbUtsrbeQEhgACCCCAQIUEQoWepzAMM1+ePDOl0TzqHY3GY41X+BoVTY+skAahIoAAAggggAACWwlwL2MrPk5GAAEEEEBgXqCkCYxQ/bvk0552Tw+3Sdh2Tz0nfu4+9pXcWpkfE68RQAABBBBAYGWBQE+tVrRElFkmKv5qqfUUrNwCByKAAAIIIIAAAggYAe5l8D5AAAEEEEBg1wKlTGCE/Tt1o8IXtnrPHWVX3b6+78k2Cn5Xd31SGLt+Q9AeAggggMC5CTQ1mJldEahnS/Zl9q/vuZkwXgQQQAABBBBAYH0B7mWsb8YZCCCAAAIIfCRQvgRG2NddnL2Q3XteLNZd7+jZ3FmJchgWS0l9dIXZjwACCCCAwC4EwnhZqdmlppJlp6IlqHbRCW0ggAACCCCAAAIVFeBeRkUvHGEjgAACCJRdoARFvLNEs9MtnwvW0q53ntV7saJZGm6roctgtJjoyDZ7Bs9rtVolRlmVOA1mVWIlzt2/9atiuvuR0yICxQLh66NayQcM8o5yhmMN6nl7DrvtFH9+T21MpzYe8w5nTIf9Od+0t1O8TptacB4CCOxagHsZm4pW5XdzVeI016EqsRLnpj81xedVxbR4BOxBIF+gRAmMUP1GnJSQ4qWjiu+D1NV57unFMnUyfHWtti6CgZrFJ+SPnq0IIIAAAgggsIaAo+F4oGb2jLCvhvUiVpzKovAcAQQQQAABBM5HgHsZ53OtGSkCCOxD4PPnzztt9uvXr4Xtzfe19Nhff1/Yjtnx9cefC/d//uDcwhMLdizry5zy6YfLgjPX2/zLT++FJ2zbx3g8Lmz7ox0lWUIq+wdfcoYrzKjILCUluWpZDVES46PLzX4EEEAAAQQ+Egj0HtWh+ug49iOAAAIIIIAAAucuwL2Mc38HMH4EEEAAgf0LHD+BEXpqT2ZeSLbj6K1Vi6a81RoNNRqNSU2MqHB3tC3eb5mlLOy4HoaimRg1NfqeKO29/zcOPSCAAAIIIIAAAggggAACCCBwtgLcyzjbS8/AEUAAAQQOK3DUBEbotdWwWnKTT3ravUCj+8yUF9+Xb74yJtHrzAbnYaShkyYxJL/bktVoMxsjY8ZTBBBAAAEEdiYQJoW70+/BzlqmIQQQQAABBBBAoBIC3MuoxGUiSAQQQACBExE4YgIjVPDlLUlO2HKGgUamaHe9o9F4LLMuVvoV9JIEhd1TkNk+DgINmlJzMNLkGFM/4+H+7It6n8j7k2EggAACCBxdwCQs0iDMko2WrOxXK65H9U4iI0XiOwIIIIAAAgictAD3Mk768jI4BBBAAIHSCRyxiHc9SjwM1da3+8FmCYf6tGp3vTNScOEpsJoU8y7d24yAEEAAAQSqKRCv6/xyaz5kMNK4U81REDUCCCCAAAIIILA7Ae5l7M6SlhBAAAFpWSHtXfus09dHhbOXxbbNucvaLdq3rPh20Tnrbl+3j22LfmfjO2ICIw6jORiomY1oi+f1ZlPTlMYWDVXw1G0que9juLVaLbfZqsRpgi9TrEWeZYvTxFMUa5k8l8VZJVMTKw8E9iVwdVGX167JlJtyHqrz17Vsv2tWvT5FvzvN+ac2pqqOx1yLouvEmFZ9p+//uKJrdIo/S/vXpAcEEFgmwL2MZTqr7yvb39CivyNVidPIlynWIs+yxWniKYq1TJ7L4oxNzf+X41FwW7AcwRFF5QSOnsBYRSx4zxS9WOUEjkEAAQQQQACBrQTeHhtRjSpnOI6Wa9yqMU5GAAEEEEAAAQTOUIB7GWd40RkyAggggMDOBY5YA2PnY6FBBBBAAAEEENhWIPymN0m+78vuxbWm1moyOX+tczgYAQQQQAABBBBAAAEEEEAAAQQQyBGoRAKjOUgKeo865VwiKvTUbzfUqNWiKWdm2lmt1lCj3Zc3KXyao7/peTlNsQkBBBBAAIGdCATvMvMeTfJi1Flx6SivHf/dazRUs0xRbx4IIIAAAggggAAC3MvgPYAAAggggMD2ArVx2RZz235Mh23Ba6vRcpferMldfiPsq7H0Jo8tZziaWbajaD0+M+CyXcaiWKsSZ9lMizzLFqeJpyhWrr3R2exRFdPNRsdZZRQIvVD15orJi2gAntq1llzblq0r3T7cq7PW+espFP1MmFbK9rtm1ZGd05iqeo3MtSy6Toxp1Xf6/o8rukam56pep1Mc0/7fCfSAAAIfCnAvI5eo6Hdu2f6GFMVpBlWmWKsSp3ErirVMnsvijK+9+f9yPJbVwFinkPYhRnQNxi8AACAASURBVPP58+fcbg5diDs3iMzGz7/+PvNq9um6BbZnz97Pq/ki3tv8LFViBsZ+GHfRqqf2JHlhy+kNFQRB9DV07EkHbqstb/LKPPHUziQvbCdzXi89z9fieTON8AIBBBBAAIG9CKyXvDAhNDUYjzUejTQaDfaavNjLgGkUAQQQQAABBBA4KwHuZZzV5WawCCCAQMUFmIGxxQUM+w1Z3XihjLylNrx2TS037iA7CyN7npyhxoPmTBRF5xVlg83J22SxZjrf0YuiWKsSZ9lMizzLFqeJpyhWrv3mP1xVMd18hJyJwHoCRT8TppWy/a5ZdWTnNKaqXiNzLYuuE2Na9Z2+/+OKrpHpuarX6RTHtP93Aj0ggMAygew9Ce5lzEoV/c4t29+QojjNaMoUa1XiNG5FsZbJc1mc8bU3/1+OBzMwdn8dmIGxe9OzaDF4l+xowoSt2+vFpTasy3Q2xSxHdF60yVbvfjZ5YTY3b5zJCW/flhXRmBzGEwQQQAABBBBAAAEEEEAAAQQQQOBDAe5lfEjEAQgggAACJRL4VKJYKhdKczDSYvphOozgPS1jauvSmm6PzhtMX88/C7+9TTZdXSwmRiY7eYIAAggggAACCCCAAAIIIIAAAgisIcC9jDWwOBQBBBBA4OgC1MDYyyUI5bUbk+WjbOdBnZXzEJ6ekmWppNnEx15CpVEEEEAAAQQQQAABBBBAAAEEEEBA3MvgTYAAAgggUD4BEhi7uiZhX41aLVozr1az1HL9aH0pZxhoNFfjorjLUP1GS0nZDNm95zUSH8WtsgcBBBBAAIHVBDy1Gw31Wb1wNS6OQgABBBBAAAEEqi7AvYyqX0HiRwABBE5egCWk9n2JvwUKm3V9PAHDJC8sTSdf9PS8+rSNfY+C9hFAAAEEzkEg/KY335drNfQ+fNagGf/1CkNPUmYtxBUsAtWVnL7C0RyCAAIIIIAAAgggUCoB7mWU6nIQDAIIIHDOArXxeDw+Z4Bdjj0Mk4+sBoFevzyqa2ZhmIfdUzDqFCcxQk9tazrzouj4Wq1WGG7ZLmNRrFWJ00CXKdYiz7LFaeIpirVMnsvixNQI8DhvATMLo6VoImEv0KhTl9euTZZFXNXGTs5d9fh1jiv6PWPaKNvvmlXHdU5jquo1Mtey6DoxplXf6fs/rugamZ6rep1OcUz7fyfQAwIIrCPAvYypVtHv3LL9DSmK04ykTLFWJU7jVhRrmTyXxRlfe/P/5XgsuYWpr1+/liPIJIrPnz/nxvP1x59ztx9r4+dff1/Y9S8/vRfuO9aOTz9cznS9zc8SCYwZyt2+CPsNWcmUisIbOV5bjZarSbnvJTd8in6Zmqi3eRPsdtRxa0WxViXOspkWeZYtThNPUaxc+/hnY5P/r4rpJmPjnLIKTGcFmr9fD++WWm8fJOMPOJSinwkTQtl+16zKck5jquo1Mtey6DoxplXf6fs/rugamZ6rep1OcUz7fyfQAwIIbCPAvYxFvbL9DanK34aqxGmueFGs1br2i+/dY20hgbF7+XNOYFADY/fvp0mL9etb2ckr/z2YbJ888dqqTZIXtqJ6GSwbNeHhCQIIIIDAsQTq6owC9RyWMzzWFaBfBBBAAAEEEEDgWALcyziWPP0igAACpyNgZoWYL5ME3DYRSAJj0/eFWfap0YgLdzf6WrveqSmU1ZqU61YvGE3WGt80JM5DAAEEEEBgdwJ1dQZLlj/cXUe0hAACCCCAAAIIIHAoAe5lHEqafhBAAAEEdiRAAmNTyLqlS/nx0k/+i15zMhjh68t0aajLbPFTU/Oim+yzo+QFEy82vRCchwACCCCwvYBZMqqmRj/nj9n2jdMCAggggAACCCCAQFkEuJdRlitBHAgggAACKwp8WvE4DlsQqOv61lbXN9UrfHWtht57D7q/jhMVweudWkn9C8nW7XV90oLXnhbstp0HXStUWv97clD6pF4vLv6dHsN3BBBAAAEEthS4uLLldy3VXspT62LLIXE6AggggAACCCCAwIIA9zIWSNiAAAIIIFBqAYp4b3l5vHZDLTctwZ3f2GwB72lh1Pyj57Y6Q40HzWhjUUEhs3PbtcTmet36ZVGsVYmzbKZFnmWL08RTFCvXfvMfq6qYbj5CziyLwKRgo+1oOBoo/usjee0aRbz3fJGKfs5Nt2X7/bkqRdGYqjoeM27GtOrVP95xRdfIRFTV994pjul47xB6RgCBVIB7GanE7Pei37ll+xtSFKcZTZlirUqcxq0o1jJ5Loszvvbm/8vxoIj37q9D1Yp4pwLf/e7vp083/s4SUhvTxSc2ByMFw54cOy3XnTZoy3Z6GgZjjVgfKkXhOwIIIIBAiQXqHfM3zZF8V61N6juVeGyEhgACCCCAAAIIIDAV4F7G1IJnCCCAAALlFmAGRrmvz0x0Rdlgc1BVMsJVibNsplz7mR+FnbzAdCeMNHKqAl5bbQ2UTABkBsYBrnOVfietylE0prL9W2DV8ZjjGNM6Wsc5tugamWiq+t47xTEd591BrwggcCyBKv0eK4q1bH9DiuI017hMsVYlTuNWFGuZPJfFGV978//leDADY/fXoWozMD79cDmDsM3PEjUwZih5gQACCCCAAAJqDjSAAQEEEEAAAQQQQAABBBBAAAEEEDiyAEtIHfkC0D0CCCCAAALlEwjVb/cVli8wIkIAAQQQQAABBBBAAAEEEEAAgTMSYAbGiVzsoqluZRteVeI0blWJlTh3/y6viunuR06LCCQC3pO6rquXy+vK1XE6xZ/fUxvTqY3H/NQwpmr89jzF61QNeaJEAAEEigWq8ru5KnEa6arESpzFPxeb7lm2bNOmbe7jvM+fP++jWdo8YQESGCd8cRkaAggggAACmwh4X1xJjh469U1O5xwEEEAAAQQQQAABBBBAAAEEKi2wrOaEGdjXH38uHN9H5xaeWLBjWV/mlPl6EwXNfLj5l5/eC4/ZVR+FHSzZwRJSS3DYhQACCCCAwNkJhH09upLdu1fz7AbPgBFAAAEEEEAAAQQQQAABBBBAoEwCzMAo09UgFgQQQAABBI4s4D115cvRkNkXR74SdI8AAggggAACCCCAAAIIIIAAAszA4D2AAAIIIIAAArEAsy94JyCAAAIIIIAAAggggAACCCCAQIkESGCU6GIQCgIIIIAAAscUSGdfUPvimFeBvhFAAAEEEEAAAQQQQAABBBCYFfioDsbs0af1iiWkKnQ9x+NxbrS1Wi13OxsRQOB0BYp+H5zuiBnZ3gW8tlof1L4IwnD1MAJJzbooA746GUcigAACCCCAAAKnKFD03y7cyzjFq82YEDgdgW0SBtucu67gssLb67a17Ph1+9ll0W8SGMuuTNG+sK/2k3Rzf61mvfjWTNhvyHqRnNsH3V83teTQop5W2l70j4GVTi46KOyrYYK3pauHZw2axeMsaoLtCCCAAAJVEfDUNtkL2bq9Lvh973fVsrprDMjRcDw4eAJjL38T1xj1pocu+w/4UxtTVcdjrm3RdWJMm77zd39e0TUyPVX1Oi0b0+4FaREBBBA4nEBZfy/P/979+vXr4VDW6Onz588zR1clThN0VWKtSpxlNJ1/f2bfrAWfz84ectDnfC78oNwbdUYCYxO24F2u68p1u7J7Q406zZxWPD11/Wi76z/q8rqpTs5RK28yCYW7d90+3KtzsGSCL9+XrvJuP3l9tXW9UmIj7Ld19yJdXa082umBb2+6fB6JWrJTEp4hgAACuxewdNNz9PZ+k/v7tjkYazzYfa+0iAACCCCAAAIIIIAAAggggAACCCwTIIGxTKdgX/jtLd5j9/Scm7yQvHZL5rOs8cPXy2uozqZ34aPZEF2ZdIjfcvXiDDUa5CVN0v6Kv0ezQrq+bNueOcg3mQpJznCs2aZtXVozh0oyn9TtylVXb05Pz4NOXopjclL9QvJ9N0qGTDau/MRWb+VjORABBBBAYDOBupqdgTb7y7JZj5yFAAIIIIAAAggggAACCCCAAAIIfCRAAuMjoYX9oV5f4pv99u11/o37ZB1xsxRHb/ig91ZLbtdSQ4FGmyQx6h09D99113LjJIbbUuNyw7aS8aQJi9nh5SUrZo8wr8L+YyY5IwWhVlwey5bjrDoN402uGzsvRjC3JfSkp0dp5njbrN0l3XeUf5HMQDY8b6779V+GUsNSdDGXnWz3pFHevJ1Qat8tjrf3IBUk1JZ1wz4EEEAAAQQQQAABBBBAAAEEEEAAAQQQQKCMAiQwVrkq6QwI2zYlISYzCfzunRovcQNmAkMvMEsdpeuIS3bvOV7uKejpzerKj5IYw2jWRsEK44XR1JsDjcY3atfimR2m7/71+ksr1TvPCjpzRVXT8RX2ntnhtWUlS2PZvXWTKP7qSYlMl0ufem1FVWcXDvLjG/xuVxqOtfCx4rAv5a7lnp73Ig1Hi+ct9HPoDZ5Ua+V06kvdlvTiSCPWeckBYhMCCCCAAAIIIIAAAggggAACCCCAAAIIVEzgVxWL97jh+qYmRHZWQPx6ui1Uv5EsHWWWeUpnW9Q7Gg2dOPnRbclqtNX3wg3G0tR9L136yVf3ydugjbnkxTothNPkjKLls9ZMw9g9BeNxVEDRFOta+hX0Iq/l4XmZ5IUt9YZSEMRfTuokqdWea8abTV44mfMyvovnZZr58PItOyCYzr7I9p3Gnn5/zpl90c4kL7LnpuP1Xam9yfsiMzaeIoAAAggggAACCCCAAAIIIIAAAggggAACJRBgBsYqF8Es4RR0omWSvHYt+sD/wuwDc3P/zpquYvT2qEbjMb9131W3ZSpI2HJ6D7q/bq64BNN0+aqoYfeLvEFzYXJBfqfbbvXUttK6Ho6Go+V1L3J781/01H7P3bW48e3DFZbUz/j2njVTeXYwklRTvNaVK3mD6WyK7HkmCZAt+tEZSe8F56VB9htSV0tmaCRLRJnqHblLQKUNJd/rKyaCzKyRtLDKfNzZ8bqP0n2zeOmsue55iQACCCCAAAIIIIAAAggggAACCCCAAAIIlFGABMaKVyW+x+zpS3QD2daVAnnmg/zNuurZJZjsnnpXXXVdP/8GvO2od/UW7Tcfw3dfvunGJDBWiSN8VVJ+Izna1RdvoOaaVVfTJIySJbFMHNl5JQuhBNnkha1esF6h10nRczPemToVCz3lbPD1Hij/ZrzJhURretnSdY7gZbRzsc1JDsWOb/TPH3HjSG6SKfgWSs1s26EmF6HVyEliZOtbvEheZ5o4me/HvF6skJ53VLztNVmvzLy6ybnok7h96TWcTegUt8oeBBBAAAEEEEAAAQQQQAABBBBAAAEEEECglAIkMNa5LN6X+APwphB1tyWzmI/t9HSrlzgBYJZIimYmXKszyN70nnYSJgWvO/ee+k/fdDHorDyDInxN+pEt2zbLV0nuY1/3zQ1mQ5iQzJJY09DMhtxkQXS/P0kUxHU+Zk7KeeFFtTre7GQZp2jZLRNzzqEfbfJ9ua2G3qJzfflXQ43TGRPRrIMlDbyno7MlK3OcOW9ZmYhvb9ODL+avY10aBUkRbl8ySYxglCRYPKnRSpaHsnOSG0mz4bdp++s8m4zHyU+KNG80maJRmPVZp0OORQABBBBAAAEEEEAAAQQQQAABBBBAAAEEjidAAmMNey+efiHn5ib5hL6t2/uOOvWOrm/aumu96C6t6p20Oy3uHW+oq69GrStzN//q9kE5VQ4KIsosH+U8aHTzRbWWK/ldPXmdmVWQChpY2Ly4DFaocP5+fTRJoKnOKNB9WF9xqau4q2ltEPM6TrgsBLHShsy5V6ucEErtu8m9fDkP+TM4cpvypKRIeTS9I5v4mBw/l8SwzEyMB+lxheTFpI30SZDEmiZboqyY9HC/OPMjk1dJzy78/maSJDmzNApPYAcCCCCwgoDXVq31Jtt50PNgxdmDKzTLIQgggAACCCCAAAIIIIAAAggggECeAAmMPJW8bWFfj9GqQk60es+XuWPqzRtdyZ3WwJjstyWzBNPTF11e3ujiIt5hbu5fPaxxg9l7mtxXd8zyQU1LPduNtq03CyNUdoLBJEzzxKyT1W+oNrmBbzb66lq1qOTDzLFzL2aTIU0NxuPJJAev3dDj25WuVko+zDX89qa3qweNklkXhaWxTX0IyxSmyDzMlI+H57lEQGb/wlOz/FOmSLapq5GT0IlPM0mMYTLjwszESM9bMvNioT9FM3kWNptC3CY51Qvyl4GyLxdOiTdYyZJaBbvZjAACCGwrYF3K1ptu70lebEvJ+QgggAACCCCAAALlFBiPx/r2bcOVEw44pK9fvx6wt827qkqcZoRVibUqcW7+ruHMIoGvP/6s3/vup6Ldpdr+y0/xGv7f/e7vbx0XCYxVCLM1LuTqseEmSy/56t419BJNs+gpvj9vakSM1KnHyyi5utKF9U0vrmvSG3KGw+g4X/Ya5Q9C9ePsiWT3ovrM5s5658GJioFvOgvjamF5pFUwNjnGzKDIzKJYt4lM4qMwn1DU5rdgxQRGtnaFmQXRy08ezPTTlJ57s4kTk/T4KC8VTIpwxEU8eg/SdTLV4/VJ6ib1N7p30nW6PFWQLE01E0DxCz/bR/Fh7EEAAQSyAmFU3Cl36ll8mKlJZB5BqMKEcnKISYqv/Ts7PZfvCCCAAAIIIIAAAggggAACCCCAgKRfobCCQP1at5n6DVFJh/S0SR2JC0U1o9Ptud/j2Ru5u5ZtzMy+sG+vpzeEmvfqJXG5rba8ZW1M9gVKSymY2hKNRvJVq6lWq+lODwrGY42DXlQf23ykvxeMNR4Hk77MbAvziYTJVxDouVN8m8pKYZzh9Jzk/CAdQM6+oRMHba9S6LrekYIg/hoOJceOanyYWiVq9Cejz30SelLNmiYITPJitMriXp50NzfrwyQdProQ1r1kYjRfpn5GpxnPfjEzYDoDKR24SZM9pY0lsytyB5CzsXCWRs6xbEIAAQQigVCvjy1ZllX81eqaBQHVbS05Jjr/SWmuA1wEEEAAAQQQQAABBBBAAAEEEEBgUwFmYKwkV1fneagLWUkt6EBPVktudHPfzLYwjYTqv5jvyayM6BZP0nj9Ipl1sVJncwdlZl/I0cNMoiAzC0OuWu2baYHruVYmL8NvmpZSyJsVYU0TJJOTzJO6LsxMCF/y5wtEr/op27dHtdtzi2+9JbUfcva9TQOdiaTwhUkAmIf53mxKl424noXflfrX+TMqvHa8XFPaaNGyTen+yfdkuakofLNsVFoDIynsPRwVz8Qw8aWxTtrLPMkW486rZVE4u2LNWRqZLnmKAAIIRDP7RuPltZmiGYkvuo1mGmKGAAIIIIAAAggggAACCCCAAAII7FeABMaqvvVmZmWgDz5XOpmVsWrjxceF/btp7YvhIBNDck40CyOuhSG3pfbNeHlB73pHz0Fn7v55qH7DivpZtqxUPJPCl9wv8gZZj+L4Z/b4vtyZ6SuZvcv2ZQ5b6+n17bQg93zSxTQ0k7wwSYhV62Vkl5vK1LxoBlLDzORYIYmx1kDMwXVNs2BvJl8WbZppJsys0XmVFFuZOYAXCCCAAAIIIIAAAggggAACCCCAAAIIIIBAdQRIYGx5rd5f+2q/vOjt6la3UVvzNTC26CDs6y4tqD2pfTHfnpkd0tOLZZb1kMyyUJcffDJ28cP/02Wl5lvPvq5f38rumsVDXH3xBtEkh+z+D5/btpz5St5vSeHznH1vb26UC8ht1yz7dPcYJwtWXvIp05Ip+m0KZUcPU2g9rTWROSb3aUHyIjrWFPbeYxIjWorLXGVf0dos86t2ZWtrrLLsVu742IgAAmcvEHryJjMO5zSS/P37qyevIE/6TZY6zflfUHPt8BIBBBBAAAEEEEAAAQQQQAABBBBYQYAExgpI6SFhGEY1Fl6/PCbLMPlykwSDffugeGPOElJpA+t8Dz21k6REVIfiuVOwtJP5JH5Hz70XWVEsvrpWI7ohP7Pa1Ep9f1BYPKoF0o2SCqbmxs04Z0ZITj9BWnRj2SyLJfsWlqwyfdRNkdlk+Sn/RQo7izMSXqM1veKIZm7oe5nC2+skL6KOpStTX0NS7jJRmSSGSWktFPQOpfad5JoGCvruP04Vb6+nz7MzSr548TJZ073Sl0xC5pqbh1kaniOAwOoC4eujWmnyvOA0v2uWUSx4OEMSGAU0bEYAAQQQQAABBBBAAAEEEEAAgfUESGCs4uW1VZt8Wn/2BNtxdHt5o4trS9/S++XzS0jN1J2YPT/3VZS8mN4ccoZpnY3co6ON9c6zei/xMlDm7vpaSYwV4wv7T9KtI/nmttWKNTdMdJeOHOdSlzcXmv/A7rcvj+qam/mmiPdg4W5/NDaTN1p81BVVVo+WpPIlk7TpPUjXJrEh6fVuunyUSRRkb+i3W9PmnIeofkm0JNN06/TZ4nQVaTCS7nOWcJqclSQxclNOdekyPdCX7trSw72S4irSU5rcMMc4s3U7TKFyp2vozVQbk0GR7pPxRucl7Zoxkb9IkfmOAAJrCtQ7I407BSdRA6MAhs0IIIAAAggggAACpyJQq9VmhvL169eZ12V58fnz55lQqhKnCboqsVYlzjKbzrxJebG1wOdff7/Qxi8/vS9sK8OGTz9MboBG4YzH443DIoGxCl2mzoRtO7q9vdRL1yzZZOv2fjAp4h1XINhyCano5lC8HJQJze4Fy2taTOKvqzMa6r2WJj7iJMb78FmDrZfyCOW179RyfTnDQEPHjVdfcltqaKjnQbPwfrnXrqn1ZsvWm3KLcqc1MUxbb/ZkNLNPfF095NT26Iyk90Yym8GXui2pO3tm9Kr3nLmhHyYzZZLjTCKg8GPEJocwVO4F+DBBsOSAzrP0YmplmEkkbmYpq2zsZnbGILshfj4YSm+t+Ny82M1yWgWJoMXG2IIAAggkAmEoT9NcaqHLByWgCs9jBwIIIIAAAggggAACCCCAAAIIILCBAAmMldBMcmCs6QdSPb1343vIq51+rYdhPPcg+bx8zmmhvP6THrtuujBSlLwYrbUOVFODYChZ0ySG27Lk2o6GzwNl8xhmVsNkckHwnvR5pYuF++4mETIbdXMwlOPGffhuS9ZbT8Pnzkz70wGa5IWkq6uoBvV0e/rMn9S58NNkRror8/0q83zmqZkNcdOXHl/iehiTnbbk3Er3OUtLTY451hMzQ2MseTlx27ZkliPr5M9GidakMnU2zGyYF3f6JvzwvGONlX4RQKASAsGTWgUzDfPi961abr544dgls+sWjmUDAggggAACCCCAAAIIIIAAAgggMCdAAmMOZPOX00LYUWHv95fcD/YH3pekfsZsT6G3bfIiaa8+n8SQ7NsbWTOJCU9PkyRHJg77crKSUThJaiT7Z5Ig9dlEid9Vy3qRk5ntEfYbsl6iKg9xA29vueOeZGvMbBNzEz7vYepjtBrR+bd5BcqbHcl8rfRIkgcrHbvng9aKOxtLXeoM4q/sZp4jgAACmwo0BxqPc2Z9Tdrz1DYz/OyegtG1XhuWXm4D5SXZZxLkk/N5ggACCCCAAAIIIIAAAggggAACCKwvQAJjfbPMGb7ezXIaM8kBsy7Qrd6iIs3poXVZ3+6SItvpttnZDvXmQKPxvfqNO70/bLnsk0lijANdNu6k57z6GU3d9+xJAfIoIttRL1MovG5dRjMnolLTTs4yUWmi5K4l10+XzUrHlnyfrwUyt3v+5bIZGGaqQbRk1/xJvEYAAQQQ2LNAqH7DzLqzJ38nLq4k/+VVYacz8ycw9NqyWm8ytZtYzW7Pl4XmEUAAAQQQQAABBBBAAAEEEDgDARIYm1zk8JuZLhAvjZR3/sW1bm1TjMHR7cO9osWArm9ld3355ryrWz3cd+LtM+ebpapGM1s2f7G8rfr1g6JVrSxLVr0+cwMq6rPe0XPvXU8X98U1NEwSYxToPqxPl6NKAjZFxYNOTrubD0iKPta7TQOciwACCCCwnoCpgWSp65uSQNOEePPGkdyunrzOJFERJy9cmVpRlwoVasd/A9YLnKMRQAABBBBAAAEEEEAAAQQQOCmBrz/+rN/77qeTGtMqg6mNtykBvkoPHIMAAggggAACFRQwMy/i5IVJyA/Hg0ziPdkns6RURzLLBnb9DWo3bcZSq9U2O5GzEEAAgRMT4D/lTuyCMhwEECiFwPy/Nb9+/VqKuOaD+Pz588ymqsRpgq5KrFWJs4ym8+/PmTcrL3Yq8MtP7zttb1eNffrhcqapbf7dSgJjhpIXCCCAAAIIIKDQUztZItAxky3cq7kEhiSvrdqk8HfBUoJ7opz/j8o9dUOzCCCAQOkFtvkPwdIPjgARQACBIwnM/1uz6Cb2rm/QHrsfw72PMe26zby3RZHdrsd0qH5M3EV97dqzqJ9t7Eybu44z77qzbfcCy5Ih8wmJdXvf5t+tLCG1rjbHI4AAAgggcLICobz+kx67rnzb0TAYyHptyM0bb3OgoePK5DDs3rM6M/Wg8k5gGwIIIIAAAggggAACCBxd4Df/k8OFcKi+Tq0fc4WqPKZDxX64dzI9HVmABMaRLwDdI4AAAgggcHyBTOJCku30FAziAt3hkuCag0BDWWp1LTXeh3oeNBdrKi05n10IIIAAAggggAACCJRd4OLi4iAhHqqfgwyGThBAAIEdCvxqh23RFAIIIIAAAghUUCD0ntQysy5kyxkGGiXJi6KhmILdjbYnqa4oieHY8t2WrEZb/XBZyqOoRbYjgAACCCCAAAIIIIAAAggggAACiwIkMBZN9rol7Ddk1lM0X43+ijd5zI2iRkPtvqcVz9h6DF67pka7L+9QHW4dMQ0ggAACCGwqUG8OFAyHCsYjDZpL1oIytTEaNVktk+xIHyaJMVIwdGT7rrqWpZpJZHjhwf5mpZHwHQEEEEAAAQQQQACBbQXMOu3Zr23b43wEEEAAge0EKOK9nd+aZ3tq11rJWuLOYkHU3NZC9RuWusmdItsZQhD4QAAAIABJREFUajRo5h65s41hXw2rm9ycMp/GNTe0dtZ6fkOmGOzjm2xJV7cPuu80FbQberx81uiMFlY3n2q++3Kz32tsEmJfbljqJf+dyFYEEJgTMIl3q2uWlZJ814+e9B7u1clLdISe+k+P6prjtOrfubkOV3g5X1hxhVM4BAEEEDhJgW2KIZ4kCINCAAEEzkhg/t/EX3/8uZSj//zr7xfiqkqsVYnTAFcp1oU3BBu2FlhWfHvrxjdsYL7o9zb/bqUGxoYXYaPTvC/TQqjOjVbKCXhP0+RFLzjIzfzw9SXzydor3awU6EYisyf5ftTv1YMl9RtqRTfALDW04rhnEi+zTS9/tb+bbMv7ndvrtaNPNUuuGppNVJkZMVGhXNukeD56+PKjhFfOuIxR9MlpV9abo+FokLwPp4kye6U+JN90YvcUjOJ18j+Kiv0IIFBFgVCvL3EG3X9z1Bs+5ycu0qHVm+oMmurcm9kX9aPUw9jmH0XpMI7xff4/QLMxnNqYqjoec02KrhNjyr5jj/u86BqZqKp6nZaN6bja9I4AAggggAACCKwnUMZES16SzYxqPF5vbPs+ulbbdw/lbZ8ExsGuTaj+ozvpzVkpK+Cpbe5aJw//5U6Nl/TVB9+TZIA5yhmOV59BEfZ1l073iLpw1Wpc7v8mtXUZzb4w669fWnXVm88avlvRTXu/a6l9scYYPqBZ2G1fylrYeIQNZgmX3pusrh+tJd+4XEzcREmDVUPLG1e9o+fhu+5MEsN31aq9qReMlJ3kslYfq8bCcQggUFGBuq5vHb3f3kQz45YsLjU7vvpxkhezQfAKAQQQQAABBBBAAAEEEEAAAQSqLkANjINdwUDvyTJQZlmNj/MX5hPx6XJTSZAmKbHq10bjCtW/yywd1XPiVvyurKhY60aNbnhSXBi2ZyYc2D3drzILpH6hq6g3W71gds1K84m7ha9hMr4NI9zHafXOSEMnnmVhEjdpnRRTJHch/rwxjccKIrTi6Mxa96OgFyWMJF9dq6F+WFfnOdtHoLQZkwAr6jt4ZvZFsTR7EDAC5nd5XPeoVmvLlL2u2qPeGWjQaR5lNkXVrIgXAQQQQAABBBBAAAEEEEAAAQR2K8AMjN16Fre25vJRXjtT92KbpaPCUKvedQr7d5nlqp416NR1r3hGgNyWahoqGKx5E8vUtkhnkdh2ctM8jylePiq6oX7X0GSiSZT06cqqdfe6nnpeRMfaZorhDhUvGeW/B8kyLCt/7nm1sOsdjYILta2WXOchmYGR7SNNuJkZMcVN1rOnFB/GHgQQQAABBBBAAAEEEEAAAQQQQAABBBBAYG0BEhhrk212QvjtbXKiveyOsCSvbeo/JIfbPT1n1/eZtLLikxXvMJvi0WbpouiR6dPMCAhkCrj6MkkM622LmgeZZa2WRr/qcfONhN8UK5tZBTWZlEdVH2bGxfAyULOzytSTDUdZb2oQBLpP3yNpDZEo0VSQUEq6MjOB1lqabMMQOQ0BBBBAAAEEEEAAAQQQQAABBBBAAAEEzleABMaBrn0wXT9KVxdFH1ufFlKOwjI3ks3yTbUXrVhXOTotrWFgrzhzI+wnCQpzdk5R5pkkRhLPh4VcU9dJbYucgtLpMdF3T+1avGRW0Y3xNSaTzLT84Qv/XYFWnqjyYXO7OaCuZpq4ysxiKS6wnRTutnsa3q4RQd469fMJpPnXUfPLZ2asEQGHIoAAAggggAACCCCAAAIIIIAAAggggAACuQIkMHJZdr0x1HQCxpIbv2EgXdmS75vK2wruv+nOMrMikpvTa4ZVnChJGwrlte/UcqczL4JRXNPAJDXu3q90dXmpm+uOmmYmxkU7Lv5s6ia0LL04PT3cd9Qsysek3az03dKlKf2QhJKeEoah6skMgXSiQLpv4bspUB109OFxcyfuLTEy10/hy3Tmg+wkUZVeb1PLY6RO5sQ0OZXZtNrTSR9SmgSJ20r6MNfQ+I2TmhZp0mQ+oZVpZ7WOOQoBBBBAAAEEEEAAAQQQQAABBHYtYGpVfvs//3jXze68va8//rzzNvfVYFVirUqc5jpVKdZ9va/Otd1ffnqPhv7d7/7+1gQU8d6acN0GrlQ4AaPeVGcwUjCcrzUxLUo9KdBsOxrmFaqeFGdekigxZWW9tho1Kzd5kY7Id1253Rd9SzbExZ+HSmpMy3e7alk1Ndp9eWF61qbf67qIK3Dr7VvaWKjXO0u1Wk2NRnulPtZNXphoVz3Ha6eFeOPvaYHtTUe8eF5apD3dk7xXmgMFBQW7F4prjzpaUrIiatgkLqaJkNn3Y5qLyi55lkYz+332vNl9vEKgzALZotqzP9Pmd83kq50pt20Sd+m+7PbMMKe/H1Ys1L2PNjPx8BQBBBBAAAEEEEAAAQQQQAABBBA4BQESGCW8ivVmUig7eE8mJGRuFl/cxgkE31XLaqjdT2/2JwPJO2cyxjBOXDRqslruZLKDWWpqnMy8mBw6eZLp22wzdRNGgYY9M10ifkSJjLu+5iJJdyffXbUaDTUmX+mNwobmh2AKV0eP8FUvyYwM/+pGVnp3fa7l+NjMDcb0RuNa31e86ZjX97bbopkPY02SEUNnoUUz9OkN0qxjY3pjtbHkGsz3MUl0LXQVbZgseXZ1MVsDfvL+yj+PrQgggAACCCCAAAIIIIAAAggggAACCCCAwK4ESGDsSnIP7Uw+BW9fTj5VX2924gRCNA3Cl/vymp84yJwzDa0us5aVWaEqetiOesFYo7TWwvTAD56Z+gwjjYNkNsb8MkNFZyef/I9nACweZEVrSEl6+xaPaXKz3FbvPknqLJ62my25XrtpepVWluVmFs9PZ2ok3xcPyN0y08fENj40TY6kCaZJEXn3MZN0aqgx3REnpKIk0RGTP7kjZSMCywTq6owyCcPJ7KZA07xs/DtnWSvsQwABBBBAAAEEEEAAAQQQQAABBBDYvwA1MPZvvGIP0wLeaY2CSabB7+qu8ZLfjv8yuy/NTkTndOMmMgmGqCC3qWXx5UbPgy2TAtFsjLEG+ZHNbc3UWjB7cmop1KM1pHwpKaodfHHjNuxbXc/cfZ9reublXD+mK1PkQvX8paLSWg8zbZTzRZzgieujjAfNSZCTIuzJbInlM2Emp+U+mS4tle42SZL0+dz33OLec8fwEoGKCHhtS93kvW73nrV2Xrci4yRMBBBAAAEEEEAAAQQQQAABBBBAoEoCJDAOfrXeZEo8LCt8vXgT2dT1LryLXHiDueiUqJbF9P73wQUKO2zeyJErV8bI03uSv3AeksLShScu3xE8mVof8THOcKzMvf/lJ87tbQ7GGq+WrZk7c8OXB5wV0hwEGg9WzhJtOCBOQ6CkAl578jtCznCDWWklHRdhIYAAAggggAACCCCAAAIIIIAAAhUXYAmpg1zAaYHq4u7q6jwH0zoI46HiSgjTAt6mRkJaxDuqWzFZ+iRdDmW6BEp2f/C8XQKgOOZd77EUryLl6+XuUXHOwdHNrpItznDj5MWuR1q+9khelO+aENFBBMxssDTDKUfDTTOcBwmWThBAAAEEEEAAAQQQQAABBBBAAIHzEmAGxoGu92T5H/mKalTn3S+uZzaG3/QWxZYtoh3qNalq7XctNd6HKy0DlW32QMOddjOptZAdx3S3lN2eJHrMKlLJ9BG7d6/t8hehKfsRPexLK9txhZ6HCsPMe2OfkSdLak2WMSvsK15aapsZLYVNswOBgwl4altdxfPbTLJ4sOXvm4MFTkcIIIAAAggggAACCCBw5gK1Wm1G4OuPP8+8LsuLz7/+fiGUqsRalTgNcFViLWucC29SNmwt8OmHy5k2zAfzN32QwNhUbs3zJvUdJLlfPA2aH9yWT2/8zywjZIrPBrpo36nl+vLdlqy3noJROsMi0Huy0tTVxYFueK/p8NHhzRtHcpP1nuToYeuF6HdnYgpdTz6oLcnMclm/APpHAov7w/6d7vSsh/Tiui013uzpgelaYVHx8w/eV9OzZp95fXlWZ3LzNk0gzR40/8pWZXNC80Ph9VkKeO1WMtPL/DxvU/dimijdHeQ+2txddLSEAAIIIIAAAggggAACCCCAAAIIHEKAJaQOoWz6iOo7JJ1FN5qXdxym0waSwszTo+tqDkaTpaSU3T+ZtVGeG8uTcdiXppq20gLT4et78qnn6cjmn20/+8LUCp9diio0N+rTIEyB79Q5KRw+H8MxXk9iMp17bVldX/7Lq75lgjEJhslXZvvaT02CLFpCp6svQfZsR8OFJcrSpcrS5c2yx/McgWoJhP3GNCG5dd2LaaJ0dwr7aHN30dESAggggAACCCCAAAIIIIAAAgggcAgBEhiHUI76aMpMLoge/oteMzfRk62Zb9OlomQ+bd9oLHzdvSSHvz1O992lS6H46lo1memEtbaXaffwT4N01sDVhazXO1kmplpNVjetqn0z+dS/Qk/tzBQHv/ukSfRhX/1s5qFwKMkSXWZ/2NddN1kcxixFZV63umoZm0Z7JpFR2Nwxd/hdWanH1YWuB4GCwqTCWJvVOnnRXbKEjpkZxAOBsxDI/G6Q3VOwTt0L98v091KK5X2ZzORIN631fR9trhUAByOAAAIIIIAAAggggAACCCCAAALlFCCBccDrEi2PFPXnq/u05GZx+Kqk1EV8dPbT9pnnyc7pJ/GT5aMOOKQPuvL0ZZKnaCpeRitzip0pmGuSF9Z0OZf4KFetNAETvKvbstToF2R+6h09B4GCIIgLdZtZBena9nZPz9FSVBe6Slde8t0okWG9XGkYmJkFJV773hlGN1jrMv8rfqxT62Qyy8O8n0yT5lrcb7j8VHFI7EGghAJzdS+e0yX4loRav9Zt+rtDrloNM5PL1KYJ5fUbqrUkJ01QL2lmZtc+2pzpgBcIIIAAAggggAACCCCAAAIIIIBA9QVIYBzyGmaXkcr7xG0ai7kZv+ST9qboSd5X0EvusJlPFCfHrPXJ4rT/HX2fX75J1r2Gw6GGJtFg4hvFSYPQa6sxSV6YQrrj6RJZZgZKP5ws9eR371SYw6ibG/yB+u2GapPkhaNhWiOk3tRgNNY4GMqxE6skkdFozy4tlUfQHMy676f+RWb2jQki+XT4ssSFmWnSbrTVNmPw+nrKZr/yBiJPT8nMlGi36cNci5lOzE3axZk/8Wyg+URTbidsRKCcAjOzJTKz1ZLZYdHMteh5I/O7pq7OQyZD4ZuZXJYsy1Kr68ssd3d/mWY43vStIM86C7KPNmd74BUCCCCAAAIIIIAAAggggAACCCBQdQESGAe9gk3dp0kGuXosuhMvLf2kfRqyqefQbrfV7nvy+u3JcknZuhgz96TTEw/xPandYLqa1LKo19VsNtWMEg2mJIandqMWLZOULPSkXjCSmSxR74w0TO4X+l0rqgMRhW3f6jozKDNuY2BurEc3Hq2Wum7Smpm5kCRJZoYcJTJGCqJERrzHd+OlpRptb1KnY+acA764SKeJRImFVT4d3tHNlSvXjKHVVTJ8Zd8Hs+Fn3ofL+sjM9pnU24i2zbbGKwTOQqA5UDDsyUnzFGbQti1nGGjjZOY+2jyLi8EgEUAAAQQQQAABBBBAAAEEEEDgXARqY/NRfh4VFfDUri1+Gt4ZjuNllLYYlSlwa4pHS6aY85rLK5nExF0rvpG+7Ab5zDJPjobP87MAQnlta1po10QzPzavrVpaJyIZr207elhoqxjDzAC5a7nxUkrOUON11sMvbnarPV67LQ3WcE8dbFv21ZVub+513Vy+5FTY7yvodKY1SEzEaTvLrvvkupnZMnHCaavBcjICCCCwpoBJWBc9qvrPmnMaU1WvkXnPFV0nxlT0E3n47UXXyERS1et0imM6/DuDHhFAAIHTE5j/+/D1x59LOcjPv/5+Ia6qxFqVOA1wVWItY5x571FjWrY75kv+M1i//PS+8HN27A2ffricCWGbf4t/mmmJFxUTiAuDu675ILAtXd3q4f56bimgIwwpmuEQ6Kb9Kg2WzCCodzQKpPaTdJ97XF1m2abgJk4wyBkuJmaa9+o5b3rRajft8zTqzYFGwY36d1+kktSBaA4GeaEWb2sOojoexQcs7ql3llwbxcvgzC4rlWnDJEokvQcrThfKnMpTBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgFQFmYKyixDEIIIAAAgggUBqB+U+bZQPb5lMd2XYO/fycxlTVa2TeE0XXiTEd+iemuL+ia2TOqOp1OsUxFV9B9iCAAAIIrCow//ehjJ9sN2PJ+3R7VWKtSpzGuSqxljHOvPeoMWUGxqq/jZYf993v/v7yA1bYywyMFZA4BAEEEEAAAQSqITD/H3LViHp5lKc2plMbj7l6jGn5e7gse0/xOpXFljgQQAABBBBAAIFTE1i2ZFPZxjq/XFPZ4jPxbPNhImZglPGKEhMCCCCAAAIIFApwE7KQhh0IIHBmAtv8h+CZUTFcBBBA4OQENv038bJPwBd9En1TPNPXrtvMi+VQYzpUP2aMRX3t2rOoHxPDrvsqGteu+1lnTObYXfef9x5l23YJDGZg8A5CAAEEEEAAAQQQQAABBBBAAAEEEEAAgUoK/N53Px0k7kP1YwZzqL4O1U96gQ7R3zp9rHNsOga+H16ABMbhzSvXY9hvyOr6UdzOcLxYSLtyIyJgBBBAAAEEEEAAAQQQQAABBBBA4PwELv6z3zrYoA/Z18EGRUcIIHBwgV8dvEc6rJxAvfMgJ4nabbXlVW4EBIwAAggggAACCCCAAAIIIIAAAggggAACCCBQNQESGFW7YkeJt6mbNIMhV1/IYBzlKtApAggggAACCCCAAAIIIIAAAgggYARMHaT0CxEEEEDglAUo4r3y1Q3Vb1iKV1JyNBwP1Fz53M0P9No1tVxzvq1eMFKnvnlbW53ptVWLA5GcocaDQ4x+q4g5GQEEEEDgzAQ2LWR4ZkwMFwEETkSAAt4nciEZBgIIIHDiAnn/Rv/lp/dSjvrTD5czcVUlThN0VWKtSpwzbwRe7Exg03+/UgNjZ5fgxBtq3siRqyiX4n6RN2geJIFz4qoMDwEEEEBghwKb/mNohyHQFAIIIIAAAggggAACCCCAQMUFyphomU+wZYnH4+yr4z+v1XYbA0tIrexZ1/XDUMOh+bqXtfJ5p3Igy0idypVkHAgggAACCCCAAAIIIIAAAggggAACCCCAQBUEmIGxxlWqN5s61gpOa4S5t0OtS1uSH7X/9i2UmuessTdmGkYAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCQRAKDt8HKAvWLq0kCw38PpLNO56zMxoEIIIAAAggggAACCCCAAAIIIIDAWQqky7z+xf/1f5R+/GVcNigPrSpxmtirEmtV4sx7P5zDNpaQWvkqmyLeNZniQ7VaW156XthXI9pWU6MfRltDr6/G5Niaao22+l68Lz1t5nvoqd1oJG3HfTTafS07ZXJ+6KnfbkxiiOJrNNTOO9kU4k5irbUnI5g0pcxYao2+FiK2LmXmYESPt2+L+9N9fEcAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYEsBEhhbAqp+ITMvwTyiWQleW1arKz9eaSnZ4arbspSXM5DXVsNqyZ05QfLdrlpWW1/iFvL/Pzm36/rJwk7JYb4vt2WpMd9hc6ChkxzjPirJtyQbQvXvukk7tnrPncX5FZmx5gfEVgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEdiNAAmM3jkkrX9RuubJ7QwVBoCAYqjeZsiC5j/OzGrzo+DTX4QwDmal10VcwlCNXrlsUYPZcR8MgOW8cTJIUvttaSJo0B6Zd8/DVvcvE4z2pmwRi957VobxFETzbEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBA4gQAJjl8iuq7deoFGnqXq9rnq9qc4oTRhEUzRkKkekj7D/qDQ/YfcCDbJFsetNDYLedMmm9KTke/ZcZzjI1NOua5qkyEuaNDVIp2H4Xd1F0zDiZEjUtN3TM9mLOW1eIoAAAggggAACCCCAAAIIIIAAAggggAACCBxagATGTsUdPSzc/G/qJl22SW/6NiksEer1JZ17Yev2OmfKQ/1at5kZHNNQs+c6umlO98TPLF2m5/nvM0mTaH9mKSm/+6R2u5UkUhwNRzlLR803z2sEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBPYs8GnP7Z9X8/alrI1GfKWLnPyFVNeFKbCR5jkmbQd6n2xz1aql8zgmB2SexEmT7OQOszOapeGaxMV0mapoJkfmzIWn4Te9pRuvLhZrZKT7+I4AAggggAACCCCAAAIIIIAAAgggcPYCtVptweCXn94XtpVhw6cfLmfCqEqcJuiqxEqcM28xXqwoQAJjRajdH5ZNQhS3bkVTKSbZivwDbbtwqSlNSozPn9rUfc+Wmxa+UN5MjrlzgvfFXMrcIbxEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQGAXAiQwdqG4xzaC6VSLgl7Msk8DLawiVXD0ZHPY190keWG2umq1bzQeFLcUfpvMv5B9udlck0n/PEEAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYIkANTCW4Ox3V6ZOxUxtjGyvoTI5g8yOVc7NHL7wNFT/rpvMpnDU6yUFM9yW2t7CwZMN02RKQc2OyZE8QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgOwESGNv5bXF2XdeTCt2+Xl4n1b2nbYavmtT5nm6VqY3x0blhv6FGuy8vr9n+ndLJF6buRafzrGkOo638HEY2mVJUs2MmSF4ggAACCCCAAAIIIIAAAggggAACCCCAAAIIILCxAAmMjem2P7F+fTupXeF3LbUz2YbQ66thpbMkFvuqdx7kJJsXz23L6vry3a5aT3PpiOzSUc5Q8YpRdXWee0ksZimpuXNMP9lkinOz/pJVi0NgCwIIIIAAAggggAACCCCAAAIIIIAAAggggAAChQIkMAppDrCj3tFzOvXBVKFoWarVatGX1TLJC0dOmqVYCKepwdCZJEBmz3Xjo21Hw5maFrNLR83sq3f0kPaVs5SU9zRNpjg3xXUyFsJkAwIIIIAAAggggAACCCCAAAIIIIAAAggggAACGwiQwNgAbZen1DsjBcFQjp3UoYgat2U7QwXjge4vs9vnem4ONAqG6jn2JJERn27L6Q0VzBX39trWzNJR82mI5mA4mdXhthrqT5af8vQlyYnI7ul+/sS5sHiJAAIIIIAAAggggAACCCCAAAIIIIAAAggggMC2ArXxeDzethHOP20BU0/DLEllHnYv0KhTP+0BMzoEEEAAAQQQQAABBBBAAAEEEEAAga0FzEoj849ffnqf31SK159+uJyJoypxmqCrEitxzrzF1nox//7Mnly2u/s5P/ZRuJumIT5lB8tzBPIEzCyRcSdvD9sQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEENiPAEtI7ceVVhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQGALARIYW+BxKgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCOxHgATGflxpFQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBLYQIIGxBR6nIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAwH4EKOK9H1daRQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgrwK12l6bP3rjtfF4PD56FASAAAIIIIAAAggggAACCCCAAAIIIIAAAiclUDvAndVffnovNPv0w2XhvnV3HKofE1dRX7scz7J+zL5d91XU3677KbLb9ZgO1U/qtmsn0+6hH5umIVhC6tBXiv4QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDgQwFmYHxIxAEIIIAAAggggAACCCCAAAIIIIAAAgggsK7AIWZgLPtU9y77P1Q/xrior12OZ1k/Zt+u+yrqb9f9FNntekyH6id127WTaffQj2Vmy2JhBsYyHfYhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAUQRIYByFnU4RQAABBBBAAIElAl47+sRTrdFQo+0pnDs07DeS/W15c/uil+n5tVp0ft4hbEMAAQQQQAABBBBAYN8C5hPX81/77pP2yymw6afvyzkaojqkwKdDdkZfCCCAAAIIIIAAAmsI+NLtc1P1olOu/n17546cPNKF4ddT/1LAgYsViBWAE0dOyaQQEmcOnTmBEDKnjpxYWgFaAeXA0l74qyW11BISF9ufrw9THnTpy+mnhWaqT5/zXmnUdS+77ut2ub/ETvV0oeHkRde3N5qOOnveqdZ5wThTxqv8tufJ6yzYfiOO4+yGN0+0nn6APe3dcBUCEIAABCAAAQhA4JMIfOZC9mf19dv6MY8CY3r7D+JfsOtq86ekluqy/xjKODCOoUQZCEAAAhCAAAQg8CUEBjr/zDV747zoz2RcBvF4pUc/1PpUB0iTU/8ic1pkbog4ztpuFjnmfPCpII6xiDIQgAAEIAABCEAAAhCAAAS+lsB7HANfa/nxvZNC6nhWlIQABCAAAQhAAAKfTGClsUkj1fibzPKoBK3GO/eysjbi4VRre1M9hH4ZJRGb9hfNBFanNmrLe5onuykEzP9wd/+F8m317/QdBUbVsPgLjrAslYKhU8fUHUqL1gRgTns/pZ5j8nsPT2YrKY2kYYPvMJCij3p23zso6kMAAhCAAAQgAAEIQAACbyVABMZbyVEPAhCAAAQgAAEIfAaBA1ELNsVSuykbvabSKZmgeqOl1tsrBWdjmcRP8WyixeVaZG8qFsonY50WRhJJZ+OW6Yml2Vh69KX1suX+T6nXYvpbLhknxMlsJS2GknXouf3GK8k48uaJeHhdMBxDAAIQgAAEIAABCEDgZxEgAuNnzRfWQgACEIAABCDwFwiMbpTsjUyoRy0kc0/yPPmEaZ7nAAAgAElEQVTzuUI3yiF5eOPa7Ug3ps3sE2t2fyhS4JhJiTWb7EaTNKNL6ue5E+WY1v95mUUg9a3zwrI5otfAcV74oZQk+Z9ftGEW2oMWvj+lnkVwMNhhT4G3sjXRGtZ54flSWLANnbid2UTa07U1n28IQAACEIAABCAAAQhA4HsSONv+hURZ35M9VkEAAhCAAAQgAIFWAmm00P2TdHF1rsv+SD2rgxEFGt5Jg8GFLm4uNc1upFoM+/k6rucrXC8PCHu3dtm46LSZ3fEVbt/YrqOr0ejkpNOvFfFOpWE/j7wwTohlvzo3Sa62bREUJmJjIfVn+Tizeg1B9eBMWZiLSdqVrFWqtf+UenYGsygISeFa7Q9fwU9zaT21tYrvN7I1Xgk7J21zYJwb442yfGi3D6eFITUs5BQCEIAABCAAAQhAAAIQ+DoCRGB8HXt6hgAEIAABCEAAAu0EXh+1Ws00G491n9SLxPEqu/eSWK9GopdCEsO/faOTod6FlD7rsWgzv7XSU0uQQLPa/vO3aGDYSJNED1+dw2rgS8lWOkXU/PmxQnLVcF6YO1c2UiCWnp0wgZ9SLxtdqvxhiaXxUNp5ThxHQ/zYcl/SW9hG91Uqr/lNxdkejZbSdi2tjVPF/lbsTb4hAAEIQAACEIAABCAAgZ9CAAfGT5kp7IQABCAAAQhA4M8Q6J0P8rF6c9246979i0Jg21e5Hh495Zv4Ja3umimaznR2dnayEHf6/FjIPHgmM1X2Wd0tvjATT68MTuh6CKIgH6sZ71vG3NVufr0nLZdVhMT+wtVd61kyEQLuPNoSoyt7JL04nqqfUi+zvietkzzSwTw1xolR+mKMuHYRuWKe3NYIjTeyfd0U7DzpEgdF9SBxBAEIQAACEIAABCAAgd9FABHv3zWfjAYCEIAABCAAgR9LICqFs0uFhXimydDZxa+4cCysND4zEtu+fN98F59WwW9ftydFL6R6tuEX/q3WV086M2LI8Uz30fSkAARrVu3bSSnlWe9IrUDjpBjT16aQath01Gkq2TX2Y8pvXpV7OX5KPXdQhRMjc1bEUn8ohbfSnaMZ0uq8cNs48bh08gxyx5JJGXVnntOiHfNskTrqRKgUhwAEIAABCEAAAhCAwPcjgAPj+80JFkEAAhCAAAQg8McJ2DVYgyGO3bMmGJNOKr/mh9uac8FEJBi/g/yr1s3/zZbK8+i+1EX2TZjHqK+5t8qumSiMm9H0YDRE2daBg/1jO1D5J932Ljqs7eeRC11T/FPqZaMzToxQGhqnhYnEsOLlXZEXHUiOutxw8pRaIk7lzIa+1KY94hTjEAIQgAAEIAABCEAAAhD43gRIIfW95wfrIAABCEAAAhD4MwRGWm4LzYew0Ebw5krsNfOdzMsUUuF2q9C3sRq+9BpoEUVK0zQTjzab0c0nc0IczTDVwlYs01f1NL0t7MmiMI5urL1gb6qHJNHWHdfB42+ggdE+mj1XkyoaYE+p8lb8Uhz+lHql5c7BSHqYO+eS5kZAu37pY89WuRC6P5eSJP+bW20Rk1dt3K678bFG0BoEIAABCEAAAhCAAAQg8I8I4MD4R2BpFgIQgAAEIAABCPxTAulCd6t86743v9GNNpnod78/UZCc6zYMFYZhXUPjkEFO9IV3fVlFWoxuNLdaGONgV6f5ULvZ/YHOC6mCXu9UzYLDGhijpRX8zr/XJ6XNOmoAJxYqoiuOrVVGW/yUem0Di6TJrH5jNvn3DoQsymIqmefK/E2XknUCGmvuFnWbOIMABCAAAQhAAAIQgAAEfgwBUkj9mKnCUAhAAAIQgAAE/hyBTg2MjZ6eVaQfKjQu7Bqtd62b0ahyPhwNzYm+UFM3I4/CmGU5qVYaB1faLo/cVp+8lLIETzatlSpx8GPNs+mmmqmyjq3/peXK6IqmFQeiLX5KvWxYaZE+ypyYtFFWA6MQ9v5QDYyeZHTuM/+dp1Yv3ehG8gpNjE6OzfngHAIQgAAEIAABCEAAAhD4bgRwYHy3GcEeCEAAAhCAAAQg4BCwC/fOJZnV26vpUkuz07z4RFbUOH5RolzX2N475jtdTCrti3C5m/Uni8LItTBMWp7gqq650dVH+looWXsXqpQg4kwmoavO77juLrJvpLRlUlIj3F18BufFwU+pZw0338Z50a8cCtZZMUqK6//CieH2zzEEIAABCEAAAhCAAAQg8FsJkELqt84s44IABCAAAQhA4OcT6NTAaA4tlfUTGEGAp6h5/8B5utBkVihJl9oXzTo9TR+sBoeRFhhqYRblD3wS61gZnOtymdQ1PYz2hU3143nywwPaGElSEyp3uzai5Wdn1d/wGOPcBv7F8YXVKImVeZWafSRW90LSRb+6+1PqZRZ3OC+ye0bYO8kjhUy4xHj4cemkrqzORQdbA9yKo5fpuSrEHEEAAhCAAAQgAAEIQAACP4MADoyfMU9YCQEIQAACEIAABLoJpM96tIu1Rrf4bpFt+O+u4NxJIwX9WbHW62n+MO1OP2UEuK0YhmLN+oecGJVjxbvoyyhZ1NUvIgVZWipjz0BXpVmpFsMznQUNT8zJ2hllg19zcHld9dvmVXoqlNZNyqVLh8xPqZeNzkSMGEeNSRu1bhHsdpwY3nXL/QrRSUej6mlp1biInqrmyuiW6hJHEIAABCAAAQhAAAIQgMDPIIAD42fME1ZCAAIQgAAEIACBDgKpFpPCAeH5ZhlZimfqB9FhJ0bmvBjLLqP74VqHtK9704dS0Ntscd/rxHAcKwOr4O2MIgps377C9VKjUb6IX6azWo31LSIpjM1p6vyZJF3Op3bPud6bSjZQYDWWjEPGlg2GJlgm//i39ZxfP6WeHepyLSVtzgtboHBirKf2Qv3bMsm+j2RrkpxZZ1o8k4ZBxTYKpNIx1qGRUbeAMwhAAAIQgAAEIAABCEDgmxI42263229qG2ZBAAIQgAAEIACBv0kgCnRWLMB6nk1DZFBY7Qhf4TbXqTCpk/KinubJWtOkqitvrvBhqsIvUGeZLjQsIy8kb55ofch7UbYQKTizzgdz0aR/etCy0VG6GKqfpaaq7LVNVPcKu50ABFOmGpd0jHC3Wz6z6KTxWKs6vmsL4h1l7GVvLtUW6iNH3NoWcr53ytt7P6WetfeN3+9i66av6uh/nuigV66jKpchAAEIQAACEIAABCAAga8nQATG188BFkAAAhCAAAQgAIFOAkbEu/pzi+VpluxG8zJ6YrRUYnUl4pnG/aGGtWiMVNEieIfzwtgw0jIJy+AC41hZjfs6GwaKSl2MSPdWV8O/ckTBTf/WsSF5/rXOk0hRtFAQBOXfU6H9bXo7Rm9jtNzK7Muxf8c7Y1ym/+J4lOtAzP1CC6Lowzim5mHD2eH2/1PquTZ/9rGJ7NhK5nl3/XzGDM+Xki3Oi8+eEvqDAAQgAAEIQAACEIDABxMgAuODgdIcBCAAAQhAAAIQeDcBG4FhRLzXjiaFvd7ooC16Io0CTcarXNvC8xU+LLNIjNp1s877nkiFRgoqbx7qYTrKdC7ciAg3gqKKvGgM4uDpbhTHwSoUgAAEIAABCEAAAhCAAAQgAIEfTQAHxo+ePoyHAAQgAAEIQOA3EkgXgSaPJgRhoFujDWEHmaaKklwjoN+X7id30u1u6iZbXMbBMHnSldtGdtNEb0z0sq9u2cihg7wtPVT6GTUniR9quyxHIDmpq0x6rMFgIOlCV1fnWUd9MzDz6RWC3255P9TabSsvyb8hAAEIQAACEIAABCAAAQhA4JcSwIHxSyeWYUEAAhCAAAQgAIGvJpBGkZLRqHLAFAYZreZeQ/Nin60mamOihxM0Ova1xj0IQAACEIAABCAAAQhAAAIQ+CkEcGD8lJnCTghAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIDAHyKAiPcfmmyGCgEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhD4KQRwYPyUmcJOCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgMAfIoAD4w9NNkOFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCPwUAjgwfspMYScEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhA4A8RwIHxhyaboUIAAhCAAAQgAAEIQAACEIAABCDwbwikUaR0X9PpQsEwULS30L4GuAeBLyIQBRoOAy0++uEt2o3S6keRLoYaBgt+J82pjhYaBvkcVLQahdKFhsOhgsWBd1Gj2nc5jQJje+fovouZ2PEFBHBgfAF0uoQABCAAAQhAAAIQgAAEIAABCEDg9xAwC2/98Vj9PQ6K6H6mVbzSuH+mYRC9ffDFIqVZUN5dqIwUnJ1li5jD4WK/Q+XtFlDzaAKpFsN8PoKfuiifRgruVorjlWbj/oc6F6KnvN1xv6+hWbhOF5rMYsWrmcb9j1yIT7UIfrZjJH19VLzK52DS9f5IXhTHsVazsfrB6U4M8x7rdlJFWtSe4VSLxTveY83fUBRovDK293X2ke+uNG28B/Pf5NlwmL0nu8fbNJDzryRwtt1ut19pAH1DAAIQgAAEIAABCEAAAhCAAAQgAIGfTCCNAk3GK8XZIDzNk7WmPWdExunQn+X3/bmSm6l67n2n6MFDpy0/3Go5cmuYxbm+ZrHkzROta0a45b74OAp0Nl7lRnievBPNMYu05vOtx1iMKQrOlA/VV5gsNXrjvFftSJ53PLGPYZUqWtzrbmafcV/hdqnao3fiHBpnhf1N1OYxjbS4v9Nslc+xPF/h+uP6kjz54YOWb50IZ5zpItDkURoMnIvHHm42unhovCf21C3n35srWU/V9hgdU6azC3c+/Lkelo0+nN9s9vzFcfY+230HdfZw4IZ5xiYam5dX9nn/M1a+lxvMSk56fx8HBsXtDyLwvw9qh2YgAAEIQAACEIAABCAAAQhAAAIQgMCfJNAbLbVOLooF2Viz/lAqnRipFpPCeWEW0poLg6cS653LrJfG8nTRP7XyNynfv8icFtlSZbEQ+hbLBudty7hvaekT6vhXb3ZeNK2zTonm9beeVwu6xit0jENppbvhRneNDiu7Di0MO78J8yw/TjR8bDRmT+P2vqRrPXQs5Nuq9jt9fux2LtpCb/junSuLTCn8aSe24Gl+dI1IT4W/z79tOBbKNqoy3vVlq4OjLNpy4DIaXF3ulDDRMvnH0/XDgzTpy4x7NQ50dYwzy3GAvOcZM28+02/N6bVjbXHhdZPPezzTZHG569D1LvRTX6FdQ/6t13Fg/NaZZVwQgAAEIAABCEAAAhCAAAQgAAEIfB6B3lTrROWucttxFOQREWbn9/yha/HRlv7a73LHcmbGoUXo3NY0jXQ/udPKWcX1PF/XtzeaHtzl3hKtchCBSZM1ll1OPVj8nxaoIl66FmVLLKuxzvYavZ/3aJkoWfZOXpguZknpnpr9CxPRUex8P9KhVDkrWgAfWBhOF5MsSqiseaDP1r6867L63oMiLZUp44fHRzzsbXPnpiffPzYMY6OVjS7ZaafjQvRUPO++rrrCXsoynq4vT3XsRbovIh+8uYlOkTJZkrKZyjki/1ZTEz72MNdjFlW20nh40RkV0jqiA/Nt67TOu715xHdv+qD5Y/7+jWf3iqbvjORp9Pn578uGAX/p1KSQ4gMBCEAAAhCAAAQgAAEIQAACEIAABCBwKoFkO/dkUnOf/ufNt8mp3WXlw62f9edt5zsNVPZ4uze7e0vClnH427C7RnYnmXt7x91pQzLfep1jONDp1o5fW/+QgYeaevf9ivebnoHac3OY97vN7WignMeOZzK/72390HngQn/rN56xQ+1k3Yd+7ZnZmcMjn43EMaU+rOr5ePecdPAo+2uM5bT+2n6/ZcvZQcnTeU48z9uaP9tXzq/+HNoy1XfxftqBnfdX9VM8g9m4nPkux1m3uapXv14fRXFWtrH7nId+9f6sPWPls6CtGnPROf3Nzp027Puo7K+DR7OJnfPPfl/uGPD3LhCB8Ze8VYwVAhCAAAQgAAEIQAACEIAABCAAgQ8k0NN5ns/p9DYH53v2xBfNuXnpS92DPPe82TE/mwzVzLxjd/zHsyotT76TuT3aIcvjX2obmPRBtv0DQ4oC9W2+es/X/PZGlyYfS3Jf6oEYGxaX+3a9t49hf89H2re/kQ+629P0Icl3pHe0WKZn8kNt64IltRpmx3u54b1256tPUiUvxoZYq3Ffm0xbJVEwXin757Fbk2HH8ijQ0GqfFDdX46E2NUkPO797no3rh910QDudfeKFhsbC3p6d3/Tech0326ISmhEtbWVMc15rzrkq+sIP8wgFmy4qm29/rsHGhg7Feqy9c6xeharr5gX0Vv0dP+zQJtmNXjv6t9Kb6taf6U6hHj5AE+hr35cdD8UfuIwD4w9MMkOEAAQgAAEIQAACEIAABCAAAQhA4B8TOLBAbXsvF7TthSO/Wxcl96ZiyXPF728+1fNjLszs+aEeln09D/Pc9ofqLe7somZDZLm31DqUzsYbk1VJSszK/J7lxr1j2G/F5jXVhwlL7O+q+26vp2pOvXzMTmnrUNLmTkHw5NypDje6yESTqyuff5QLg7/oOVrovD9V/3mYO6g8T/7trUKNMzHy+OVZi2BWpvDyjAMvjRRMnjI1665USibdTt86LzxfvnF/5CIomaZB64g7no392aP6shmxjtJJaOk4XRRjb7nXeil+1H2QeXlab9cvFroM9Yv7z3YcJDaNmqcLLTQpHYntzqTq+dztJgqKdGzeXDcmPVW6kP1pG34P5/fq25+6cWOVD7TbVv1dU/NHucXscaGHYcXoyyZXYw1r3qwWZ1b2TOxJt5amipIk66nfLxQurkLdmldRFCnRq542uSGeXhVF1qhXvT69qJrFjS6u1prWUnZ9g/elNfePfePA+GMTznAhAAEIQAACEIAABCAAAQhAAAIQ+CEEepe6Dc9VLsRlZie675tFx7aIikqTYWfxtmuL/8BX+LAs/ADpcWCi+1LDwJvfqLbGZ1oYLbU1SW4OftrGcLBSUSDdq+twbCsfW66+kFtrO45rOiG1e97xcs61eh900puutZ6axvKF8Zke5dtV6Higq9FIo1Gi+UWiy/Mn9cdFx36o9bKvxbCfOyNiX2Fin6W6cb3+lebeSjMZh9eNXof5qrgfbjPNhbJ0GaHQ/Wwc+ZSWTf6rg/S1WAk30Smn6loo1otZZ9/j2ztsd6zZuIqC6Bb4bm/JOJVyn1IV4RDdzwo1FF+3l+Zd43gvXCdtOU+7zoRj56fNGdJ2LbO+w5m1M7LkXmPrKNu5Wb8Qr2bF+OvX8zNP85uW61/6vmyx549cwoHxRyaaYUIAAhCAAAQgAAEIQAACEIAABCDw0wj0NNoRws53F588ktYoiJ6my+XJTVULt28RDD65u44KbxW07mjuHZf3CWyXu9/dxd9GX12+JRU71bPinknv9b6PXRzecRoUzZa78SVd2NRopSB3T9Pz+yoFlIkKWI4ysefpra/HsYnkWWncl8Jti1hyb6TpeqvMT6JUr0Wfp6eQiqXr5ItSSOUOno1N55aFDuxG3Rw1S8ahVabPihUP9qcYa2/TOHkedP480d3Lbd0RVFZIVfpZymt5pMWkXOjPU0PNylAII3h+I933y0gbt+qh44M+mdFSyXZZ+m66fyNVpMk82ZeKrsWixu9lMLAi646IeqOMNNCgjAwa6HxnID/5fdnC6AddwoHxgyYLUyEAAQhAAAIQgAAEIAABCEAAAhCAwFcTSF7sru98kc/s5J7crapUQFnaoYeOfPYt1pe7uSWbVqalVHWp2I29E2VSlfjko/c5U1p9S80RHLsDvVnv2PNyN75ZvF5rqkAzJ6ogm+PMSWHEFGyqokhBf6yNST8WqkgRtdJ4eKFkPS0XqPebsD9qxT5pbhv7U0i5JYvjvc9X0X85ppb6jUvWEZRf3mN/o97uqVPXrq/vFjpwpafRdJ1FQZk5un+90fIYrYfepa69WfmbrY3Jm+vqdbInOuGASW23+xeZA87O545voK3OW65l0V/dTlmTHqyI/VG43nW0pYtNHilVOu7eYkS9zoe/L+vN/4kzHBh/YpoZJAQgAAEIQAACEIAABCAAAQhAAAL/lMBqrDMn28o/7etLG6/v6H4KzrRqjjvbXd7Xak/UQdcQagupXYW+wXVXJ2Gf06Xc1L6T378xCOugcJkdWIwtWygX6LvTLpVl2w5Mfbsb32ohlNoAL3oOhpUzw13oT19lkijFq7EmF4mS+SbXzYhnmiwuj4ySaEYwOIv6OzvkMxEGZQL1s1iDZvqptrE1rr3v+Rppud3KLo9HwVB3m4HKzf2NvvaebjbaDG61LoTdj0271NWmcV7kGiMr6byRlqu1Uk+XD6HO1Ve/11OvjPbx5F+/aOzoaoTXj/l57Rm2+hQrjd0Xn/t8uP0mL0VqKvdi47jWvrln+2iUe/Op0bAoXCj+1W7quze3u6/iv31f7uv5N93DgfGbZpOxQAACEIAABCAAAQhAAAIQgAAEIPCJBOqLUyd1vHlVqtGRu9RPavkTC68y54Xnz3V7cykjmZs83+tulguDazVWcHXEYmpvqofkUr2jQhHs8L6PBsaxi+LHlrMj/JzvVNH9Y6l7EDYjJ+JVqXcif67k5lImb1SUPOvpzuol5KnEer21wpczjVe+bo+JAsgG6DgsmgO2Tp3m9WJh++ighd658oxYuw4e1xG1083BC8b2PfYfqu8MYG9EgnEIDR+d1nYX9nujq1wYXdJqHOiqLY2X04I57PXs+ydSUDiwvPlDFsGxnN4oCu71emME3au+//Uz3N7+R+iFmLRZz6r8FzvKPRmdMlpicP4P3s0f9L5szONfOP3vLwySMUIAAhCAAAQgAAEIQAACEIAABCAAgY8n0NP0IdF2u63/hb6MYoHRGti5V5RNHo5NsfPxVn9oi5mQ81Qjs4u7Z9LZLLUO/bKL1d1C3bvLqzzzpzkvTPPvS9tUGvjGg970QUlz3svzRPNSsMJXWPIwgsfuM1GUM7vWs+tJpiuxzySz4D4cBoq6oZbVza78YHGoYE+j5VrbJFQYmpQ6qaJFoOFdM6zGrIzPMkF5Iyo/Hs9y4e4so9SDrL8i0wMxQt6lFW0HiWwWMpMGrPYbSRIlSeNajVnFrwheaOvgU671L4pJNlEzDRsT+wC03LOPg3dhXH7HfXJHyT6HyUhL27DRIhnu+93V+0wXd2VapcrxZJ6LZTmvWQ13LMm80GRpPNNNB1i9q9az0c3h+f6IuXYFyi9ehzo7C1QGGjUsO2VuGlX3n77rfbm/6d98lwiM3zy7jA0CEIAABCAAAQhAAAIQgAAEIACBf0TALPQ+S5fTxmJtvpvZJCqJx0MpXNfFddNIi8mdXm7XWu7Zdu3uDK+nKLK7r2PNJkNVe6PzYdqURVmandrNYqe4m6LoTWR6Os+3s5ula81vWpaqRzeae8XO/fhFRna8NlQnnYxJQZVv/m6mEjpsnN2t3SVKfbiF95TocqCkWgz7RdSC2fG/1KgXFbvjV7pb3GiUrfa75WbqB+eZ86LGace8PAWOGfe4v9I+DRA3pdBGe0SvbTTF06M2q7HGjT7Ns2c521v2eRwMrnV1c5k5r+y9zLG0fxCSRrpJEt2YSs2om+S+SIUkedlib8vzVXX2PY42dwqCp7otmyJVUcu9jcm7dcpnJy2TFbduNGLEsXfSeDXKNE/ThSZFuig/c2CZAJtUiYmweZKultMssqpZ7dTz1CqJW22JLGXVRlYP/XB7sTQIy5Rbh8s3SqQLWZ+c50uP2Zhjjc9c0fl3RNQ1uqtOP+B9WTX2Z49wYPzZqWfgEIAABCAAAQhAAAIQgAAEIAABCLydQKKn2Uyr2SwTNQ6vX/T0IuniSldhKN2NMzHYVc2JkWoxGeeL2+OhLpJ1fYdzhzHNBeSyWGeKHVPiHaltyg7+zYG7mHlRdvF97S1NPHSQRgomZt7zgiYdTx6ZMNLN3NNqFiue3Su6vNHrxHFyhA+ajg6u+itdTMp0ToecNr3RjUJ/o/HK9NnX8KVj8bcnvU6qaIrCcvnzW91MbYohKdN70EDXF1e6dK4fQlLeP3bB2nrgzBO8udNweFc2sXsQS9d7nDO7Ff7NFaP54thd62TfvVrBjzkxkUHzx/zZyp61aeYmam3cOEmN86J4XLUanxWRGEVxo4fi1qxpVNh6G90Fgaz7ZnNxpfV01+lUpmZy2zvpHeUrXO+2W2uu88S8d226M1+3y6X6F4VeSxatYkXnq8igwfnh32Nnd9z4cAI4MD4cKQ1CAAIQgAAEIAABCEAAAhCAAAQg8OsJRE/lYp9/e6n+66NW2cr1Jo+6WIfS2VhGDcI4MXJnRU/TdaiX4vqsH+i8I1d9lqJo2rXLP9IikC6X1QJzyTuNFGmkrvXwQwmFynb2HIyufOXK3V256auFQNkd10575WLm4FyXy0SXy8Y4raCw58m/fdCyazCmzTRthHdUHUVldIe5tqt/UJV8/1EaLTQZ20XS3fZ601v5M/M8rLLoiayEZxZlD6VbKtpydsrLD+tRPbvdZTEvJjVUqGHuxDAi8wpbojx6mt76erzbqD2iIm+8fyHFhbbJecOBUXL2PM1v12pZvy4sPNFJtddBlzfpXbcOvn6xEBs3Tr2dqKUux0O9hf1n5jltKnlvVrkjq+XeZrPSR3TbblQ+n7PxJo/+UarX9oLqnQ86ZLLzaKjB9WUWOeW+M3adqbFi4ySzffhX9sj5diIbrLaEiRbZLtWTE4nUjDSx7wFJNjrEafToQ9fx581v8oi5qdVrMZ4yKzp/dJMnFXzv+/Kkzn5r4S0fCEAAAhCAAAQgAAEIQAACEIAABCAAgZMIhL62krby5tvE1Az9/Fz+NrQtJfOtJ2/rh6ZEsk2ygm5ZbY1QxmmfZDv3bN/+NmvaNpD1Z+55W39uO7M3j/iWWnwAAB/JSURBVPl22nbHsVM13Ppm7O743TIli7bxVX14rTa6bfvbsBxgUe8EXuUcZbZ629buXLvfcpyE27nvFXNvngd/6xfzszM+l4t9bo7qs2Kmtnlx5r1tjKFrnx/mz2tLv8m8GkfT9vJeC//y3oExdT6RSVgyy54p+2wV394+m3fGUbEqx1DyKZ7ZRvvN5/jY8dSfrz1tt/VnrrWwdIfTbYf9jRzzTLfwKDsx97yt78+38zDcJuULyhZIsmeltMO1t2TqvO+yt5yt635be7V1myhLlG3lTLLnxPmt5O/PsvRpB0475bu6bCFnUz5fpR3HcDWNVGxbf5dlP9X4d214738Pyk5+9QEi3r/VM8W4IAABCEAAAhCAAAQgAAEIQAACEPhHBCI9FRrHXrFLubWj3lTrrdHAyNORPE/ONFxESrNc9YUAsEnLclBo2bbu7FbOLm30lLj7o6VB1mys1ayvs+HioNizyXdf/Rm1CudTu+dcNxoGVqQ4nqmfiUoX7USBhrmoRbtGRvqsx2K7dlualigwUQrmU0QnFOzKXdQn8XJt/uBjo2USDHXWH2uWRd548o0g9fpGVVosp09T/ulCYY3b4fmRSUvV1NRwmj3mMIvEsLrqq7HuO5SLzY78/OOrEnM+poeijN1d31FlNylPIRjeL9Ju+aGSUoja1zz0M6HoeDVW/2yowPx2Gm3vttkoYE57Uz00RLabotvbN4hP68KX7881D40Aev1v7ncLfNu+kzb9mBbz/90lExG21nI51XQ0Ui/TI0lloomCoRG5nui5CfyAMW3zUYmEe2rVLTfvSSsKbuba9F28Q4zOi31/Huh693btXWTeJ9O6Fo/M+LeZrkab3bsN5vogn/q+bDPiL1771e4ZBgcBCEAAAhCAAAQgAAEIQAACEIAABD6YQLXz2tmpW+70re9IrrquduHmO8Or89ZduVXF4sjd7etEfrSUq+24l2Njs2xp8xG7x3d21zfsadllXu6Ad/otd3O3RBJU99ptrrh37OR2+jGHbnkTldIWndCocvRp4rLz3EiYiosdvynrOTvuq3Ea7iZapisqItmGcy+vqz1jPmrnuLHLRAPtGaId085cb7elzS0N7LvX3psZV8Eke26ciCFrg30+WqIzPM8vIgbaWt/l31Zq37VyPC0cbL3s2fK8rdf15/weOst4e+bU7O93I2Jq/djf6zHPdPWeaZm6bDiJiSIy82Eju0rb83dZaYfbQPnMdb3vLKlqPg5HnNgotmJ8e/jb1ru+y99c8Xwd9dtvPnvNxsv7lv+e7x3bHQ4l33p9+75odsv5dosGxl/0WjFmCEAAAhCAAAQgAAEIQAACEIAABN5GIApUBhj4t+0i3CZyodF68nxXRBZ4ur40+317Woa+Nk9XemjTsnDrN8Sh1cwV75ZVT2bHfXIVaDI2ChyxZv0zPc4/Wuw43718GQWa3NVz+nuer9uHZYsOR6T7WRF+4V/luegz281O/InGxT3Pv9Z5EilKXvWUKaMXA9xUA610RaprzaPRMlFydV9waN5933kvi6KRns9vugW4X+4VDAstBKe73nSt5NxqZphombFWRgve83V967bX02i61ujSsOhr5GgYm13yzzrXeb+v/vNLpUHg9FM/zHfb16995lmqKHrW091jTfDa8+e6vZm2PCuFbb2RluutbqKF7u9ysfE4XikerzQzMT5+ePj3c2iYJjrm/kkvFxe6OpeebIjQ3npeFh2iwUA2bqVevNL72NWNqEq2163u26N9bdgyJ32bd4qJfOms5Mn3r9R377eKeK80Hm5yFllZM25fYaHtU0ZOGQ2ajogT8yzbuXW7M9oU/TPzw/A1v77S5WW/iBKplWqcpIqCSab7kt84XvsmfS1eMC26PY1O3nD6lvflG7r5rVXw4kAAAhCAAAQgAAEIQAACEIAABCAAAQgcTyAJ51vfa+x+Lnck13fV7uT0d3cxH+yyuVNd2zJf+8G62Rbucve+seOrd/i6EREuhnKHd8fO5B2GZbnDu7/LPnd2RB8D8A1lTMRAaV/xLGQRA20KEMn26GiZpimtz9shHs1GGufODvOdqIHmmNrO3UltNF3XC9DWRFGU8iZu2dKGjrG4miOt/VX8j3/eO3bHt7SfPau1aIiOKAyHzw5LWz8rYyJsGu+Sgkf5u9ixoxrj7q15xtb3/a3vV9E7bRFI5W+jsDWPbMl1L9wpKe1wxtT9mzTPfD53iRtlYw1Nkm0YGt2YtoiPXC/I/FJMVIjVkmnryzCdN6KJ6lEXxo52rvnYzJznc7fDytrqQuD4SwnoS3uncwhAAAIQgAAEIAABCEAAAhCAAAQg8EsI1Bbsdhb7vK3XmSqoDcDu4vabxGzdhcAvXJirLS427XAW483CZL6gOM8WOs1ipxEXzv4sJrd8sy1bxnyXi+H7FjLdCh9w7NhmBL3nrav0jX7Moq7vn5ziqlqANguxR/bV6No9PW6humXB3j7r++bCdJTMM8HofUgqG946Z9Xi/qGURW1jz5wNZi7C3YX8fAiV0HnbwvrbrrWPtWSx43zLnQD5b8MdRWbhdr6TCqrDeWlSmx3x3HTb0ey77dw4YefbytfgzI99bvbaUDhxG2NqdU41fnv7nrOMlJOiq5q39rloGxnXPo/Amenqt0aXMC4IQAACEIAABCAAAQhAAAIQgAAEIPCTCaSLQJOXi/1pdg4OMNUieNblsilie7DihxdIo0jJaOSkj8q7SFMp0xA+ssd0MdRED1pP98jvGhHfpws9fPK4c9tu9TAdNUSDjxzcFxVL00hJ0lff5g3q9Y6yPwrO8rRqe1ObfdGgPrxbkx7uOC5Hd9358Kcyt0y6uVN/G/0sJdlA1yb10jufww+fX/O7vNtocH2rmxNty57RZ6nfVS9dKLg/182htHwGaxQUYuGePE+5PZdGzPzomaPgJxHAgfFJoOkGAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB4wn8d3xRSkIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBzyGAA+NzONMLBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACJxDAgXECLIpCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCDwOQRwYHwOZ3qBAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEDgBAI4ME6ARVEIQAACEIAABCAAAQhAAAIQgAAEIACBH0YgXSgIForSdK/h6WKos+FQwSLSgaJ722netO0Oh4GCaL8NzbonnacLDc+GGpox/Mt+TjKKwhCAAATeR+B/76tObQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIfGMCyYtWq5VWq5m8eaj1dNRibKT7WZxdX8V3urgcadpS6i2XeucDKV4pVqyBlm9p4oQ6seJYGqi3WydaKNCllqOWe07pdBFo8igNBs7FYw83G108rDXd38WxrVEOAhCAgHBg8BBAAAIQgAAEIAABCEAAAhCAAAQgAAEI/FoC6esmH5s310Or80KKgrFWJYFYj8+ppqeswqeRgvtXXV2dq98fqde6gO/rquE7iYIzjVeePG+g69sbTVucCyaCoz+L5XleaaE5iI2nQpIfbrWstevpol8rKilSMJ5ppZk2/lwPy2mbiyOr1Ds3ba8yR0izlcPnnuaHC1ECAhCAwNEEcGAcjYqCEIAABCAAAQhAAAIQgAAEIAABCEAAAj+LQKrnx3yh37u+bF+0jwKNM++Fp3l4q5fxWKtZX0MlWh/txHjVZjXTyrTjh9rWPQqdyPoXxilhoiYGum1xXrgVrcPCvSa1OSvqJcxZurhzHDRSkqrDyeLW9eT7x4ZhbLRa5ZzdFr70OI2k+zupZpcn+dfSzVTtD4OB9cZ67x5sKg375nHY//Hm0rotPiiVgsnueOe3Uofjbn9Hb7gbBSp+TOaHIG2PiDgyvCd3xmtWdej50u2NdOA3UVXg6DcTwIHxm2eXsUEAAhCAAAQgAAEIQAACEIAABCAAgb9GwGhB9GeKPU+Ze6BYF41nEw0fcxhmrXSemFRHJjIhj73w5g95BEQy18bUz5wYYRa10RpQ0crV0/ymFg7RWmrnonehnaCJolBv+qBk2quvt9sx7jTUciEKsggOc8ebn+KUib+fU6JleK2Xagvpbok4X+BfzaRwKzWnKl1I/ZlboTi29R6lcL1br6XG516KpLNxS5exNBtLj760PsKZ0NLCUZcyJ8T4sPOl2dhiKBWp22q34lXuCJknIh9ZjcyfPEHE+09OO4OGAAQgAAEIQAACEIAABCAAAQhAAAK/nEBsIhucXd1ZpIN7LdViWKSO8o02RuGm6E21Dv3c+TEbqz8MtPhSUeyG8+KUaTOprQoHjbIUWse7Ykz5ZLvV9pi/ZJ7xOsW0f1c2cqIAPGkeSkmS//lOGq5x0DAhqjsvfKfe3NaLpZ16TjMHNdr3FUgqB4Dbt7Xdfj+0RF8EjvPCrWvHaxwCQeQY2jjcZ1ZWdE+BRSD1rfPCcmq033ZqnEzWeWEiLsJijkK/Kj2bSHu6rgpy9JsJEIHxm2eXsUEAAhCAAAQgAAEIQAACEIAABCAAgb9GoDfVQzLNUiTlGhMtkQdmYX/Sr7ILbe40HN61k4pXmo2NeoQnf36rm8sujYv26l93NVLQt9oevsJ1t+5Fq43xo+6Dl9Zbuxc3BzMf7db5R1cWzjzOH+o7+JdrSWfK82mtpGhZRVO49YwTwE0DNl1LLx317DCyaALtidAoUkQZlZDWFFC2oeK7XUilUSjLD1aMJ09fVrPbHe/qTjLRQU0f1rvsTqXHQj0mY9Y/Lg2W8UrcFfVMqik3OqS3lEJJ443JkHZsvrNdLlz5NQRwYPyaqWQgEIAABCAAAQhAAAIQgAAEIAABCEAAAoZAvvYb6SlbI/U0UKLIbLAf9dRz0y95c80HM81WcfsCvOdrPthk9832+NXjq66MA+OTMVtHjIq0WMYWN7Zkx5zEdV54mifLnWxJO3WKC6XouRlvTT+iq4Z7PdZLYibAvfbJx8bnYha+Y0+6bDGk0B3Zsar01Xj5Qn+zwJWvXORE0mva0GcwC/nFjIyHLU4MV9/iUYqmleOk2Y8531VhbyuVX3su8qKZs6ZKfHbN2h1Lz2ndoWMcCe+1e+BLD8tizo8Ml4juq2iT+c3u2EZLabt7mSt/kwAOjL8574waAhCAAAQgAAEIQAACEIAABCAAAQj8bgLRU77R3ghRz8YySXY8f65rPeaL/yZFUhaVcKnpsmWh22xuL8SupzeRFvevOl9Oj3YE/BO4Ji1WreF2h0G2Fl8s4udaH7VKjZNIwdlYG69I/5Ol3fKMr+T0TxxrNR5qk9WNFQ+6Bc1Lp0zRy2n6HHtMy6IO9tx/sQQ91YRHTL19MhGvm6rR8+bz0pPWSRF9YNJMDaVkXSzqR9LQSbHUpaGRvlbtn3JUjsdvd4qMrlSGaOx4l95rd09a7oPWMZCSZYeTqaMal/8mARwYf3PeGTUEIAABCEAAAhCAAAQgAAEIQAACEPjVBKI8/EL+1VWxc97T9c1U095Ul1eBJuNHTayqd0GiEvfOL/S00PBsJrOaP7i+VYv6QINhrNlkKGdPvFTqcKw0Hm7qWhHlvUYzHac7i/xpqrS5lp5t4B9puk50k/aKaJSOBp3Lu3ohzs2TDo3OSFFhcFLFf1w4lYJJuZYv//aESJGo0mswM9iquN5wBvRNJMatdHeE82Jn5ElhqwWZed+k25vdyA/Hr7LTTPPCxjhJmsrlH2l3s8OO89LpMsjnwOhhmJRSdrjGe3b70BhrR1tc/vUEcGD8+ilmgBCAAAQgAAEIQAACEIAABCAAAQhA4I8RSBdFin0/y6rz1Bh+b3SlgVaVBkZ535NM+qX7J11cXOn8PL9hFvcHt82F37JS/WAnSsK53XUvflF35qVU5YZ1p6ns0OTKWgx1ZsWQs4uxZv0zzZplG+eVM2Sk5XZbBh9EwVB3m4EGb3E+bDbaDG61LvQjjkwo1LDsA0/TRV2Y2zR98uK4Sf/kiGQbXY0Wp1FutXEGhEXEhYnEsPW8lrRSe8Y5s/WcMkaI2wiyz5NGGqiijHfhFHYP+0VKLfda8/iD7G4223qeSq7TJbDaIk5h4wEb96WmFolThMO/QwAHxt+Za0YKAQhAAAIQgAAEIAABCEAAAhCAAAR+PwFX40Ir3Q1XxcbuIjrCLI7O58rX540+xFrTXp5GaaWBzvuvelytjHtDfhhm5WJ5+2UJHOHwHcBRoDOz8Cxf4fZ4LYqddiQNdlIXtZV67zUTQeFEUZzanOP46FznP7XNjy7/mhy5u9/VrjDOj3m786Bm30h6mNcdJ8bpccj/lZQiHKYjaX4rXRahHs/30qwQvZ5NpEubniqpohZqNnScxG4fzTJvtLvZzEnnqzwixp9LN5d5TXesq7F0tT3M7qQ+KfzTCPz30wzGXghAAAIQgAAEIAABCEAAAhCAAAQgAAEIdBLoXera0W8o0xmZCmUExLkyLefORsyNPHpjb5HiptXKOKbsTpl0oWARKYpSI6nc8klkM+4YfYnhsPg7O9PZ2ZkmulWy3WqbzIv0VMYps9V2m2hecDDRFltTxv4liR6m7e6FvgXjh1X5ol5iG2y5F/q56d6RAtSjpWPPdqt1hz0tQI6/1JtKSZL/haHke3lKLxPhMFzsbyeNpLN+5SAwzov14SRiUiRNGvEvxukQ7e9O/RvJ2Gj+jH7GdJSr0Zsom+lSsoCNO+7eNlZEVxxourzdGaVhSrzR7rLxNx5kURbTjrFKujswT2/slmo/hwARGD9nrrAUAhCAAAQgAAEIQAACEIAABCAAAQhA4CCBnqYPoc7VL6QKEt33x1rJRluYBlItMqEKq1nhiGP3zouoi4Md5QXShSb9WR7lUQqDH1nXFEtetJrNCsHxUMlyVM9QlL46GXfaIiP69fJl1z2dm2iIWIqb4s29XkedsrK0uVMQNJJvbQqRgpZ7GzctkNPMlx8aB4D5mO/RSLoY5noW8UxaXLZHVBhNhixqprC+K21Tcbv6KtJNZZhM2iirgVEIe3cJeFv7rK1Vg9WRK8bdpmXRGV1xTJTGO+yuLDzyqKfqB+ZJNy2hKaMbySs0MTrHdWR3FPvxBHBg/PgpZAAQgAAEIAABCEAAAhCAAAQgAAEIQAACNQK9kZOxx6hL7PmUURl7yhx5y7+dHnYMNNvqX2SREyZN1fym4bwwZVvTU6VaDPsy0hf70krl0RSxtHpStHSZNI1oOY9jrWrhK06ZffecYt/y8PK6EuRuOnaMwTXnhXFCHCsm7aabcjQvRok0NJEcRzgxTgbmOgM2xi+3q8+RGuHu4jMoRF3sefb9FXbXDOAEAnsJkEJqLx5uQgACEIAABCAAAQhAAAIQgAAEIAABCPwWAi/PCwUmBVPwXAzJplsKVWRAOn2oRcTG6RWPr7G7Mb9KK7Wvld7ldZFWaqUnm3VoXwX3nufJ9/36n03N1XLPaGOf8omCPAWWSYNl/oaL9gRap7Qpk/ZpOJTOzg6niGpr2Ih+l5EXRtB9/QatDMd5kfVhBLKTXEjbhMOMh4fTSbXZ1nXNpvwybbf56lxtjZ30Xh3Oi39t95X9tXXYbAZSBPtob9qrLihc/00EiMD4TbPJWCAAAQhAAAIQgAAEIAABCEAAAhCAAAQyAqkRpkgSPT/dFSmYYq1MyIKRSL6+VX6xJYXUj+J3SFzc6IHMss3/q3GgqyNExBMruLEvymLPvZ10VZ/Js2dEr4uV7/hRSo22QsOA5yx3WH6xtqAfOcLbhfOiWbfRVHVqIiGMvoak1jRRhRPDRGLoukWUOpWCibQyDXT0vbirursuBK/NFTeixHipTJos9/NUiH+bdi+bA3qv3W5HJxy76bCMxsWooS0SOanLWqNGTuiLoj+eAA6MHz+FDAACEIAABCAAAQhAAAIQgAAEIAABCECgJBAFOit30ZdXswPP93V9caXzy75e7Tp2M4VUTXOiXv/bnB1pY7q4l659KTaL2CuNgyttl40F7uagLkzUxYUurs7VTDj0+nSnmVlkNyLeHe0Yv9HXfXrKFNyz1Fex1B9K81vp0jgOJD1PqvRRzQX9YFyZ7d9mOikdquq5nkZVOj9arqWblhROZbnCibHjUTEFetKFLRhLk0C6vVEh4iLdW+eGKePXdTuMULk/M9MrrcwYQummGG9Wr2jXjKnpvzC33mW3weROeCMEpHav5/Q/UqYwbxyKRotk+CI9GHhGE+a+HgXTppGRl+Tff4QADow/MtEMEwIQgAAEIAABCEAAAhCAAAQgAAEI/AkCoxvNvVWmD+F5vq6vL/Q4MyLbnq5vlppmi7ipcmUAK+wdKTgzQt9v+BzpTMhaTtPdNfHGmu8bLGipkioKJhqvYvlhotBf5ZmRVmMNFeqhKRRetGDSOo03njxt1CrKbTUxTDubrpxRsQa3W3X4N1ps/eBL07X0MiyiGWJpNpZmLX3MH5wF9bSIyCnKGUfAvofBD9U6wDYHQa3rPQWmD9Kj0cowQSQrZxHfbcBEZyzdC/nxMpQ247xum+3evN1e29Ies/IiHQVqeiG2Mfu9kvoORGPD2om0aI7XLWubqM2Rvcj3XyOAA+OvzTjjhQAEIAABCEAAAhCAAAQgAAEIQAACv5pAT9P1VtVSaaSXWZlY6PDIe5e6DfPYg2If++E6RYnV+GzPuvdK47ZF2iNbN5vZSy2M5KVIlDTQ+c7acqxZv275aBnKX+UOmng1Vn8zV/gw1WinrnFeSBoMNGi1K87SUZlbsXVmtJRrr1svOFputW1Zi6+XeuOZiSq4Wkh3j7l4dtmMJ/nX0k1LaqmyzFcdmAiNrRS12G0ERkzas2lX9Mwo19kwETePq+phP1jvq8Zq+rXjDaQ7x2Zzy/Olh6XjYPpKO+n7qwngwPjqGaB/CEAAAhCAAAQgAAEIQAACEIAABCAAgU8mUIlgZ8LeL4+tjockeir0M95mnteibD0YNJf3N1pl2gf7+oh032+JEPEuyixDaenUKNrxfIUPy8JJ0dMyCSXbRjzTuP8oP3zQctRTuhiq/1joTJvqm037uAt5CVOkbWxZz0YfYzzM6l8n6yLipbDpM7+MrkJTW6Gz/2IxvfP+J944yW7Xrp40XeZ/7uV/eTxa6t1eKNOG+eMDgQ4CODA6wHAZAhCAAAQgAAEIQAACEIAABCAAAQhA4DcRiPVi0jXVog7Mivy1NjUHQk/914n6heB3TqAt0qFg05vqIbnMwiNqTR+LLgoKB0abfbaRkW7mXilCnl31fM0fpuVwev2LLHoik4H2W9JE9Ua5E2My1iq2qbNs+1lIhZW/di52H+6LwDAhAFnKru7q3IEABCBwFIGz7Xa7PaokhSAAAQhAAAIQgAAEIAABCEAAAhCAAAQg8NMIpAsFk8csImBwuy6kCyrNC6MRcXHX16N8Xd/eaGryKqULDfszxZ4nb3Ct25u2dEufDCKNFBkHTL+vfq9XOi5cK9JFoPvzmyyqwr1eP06Vpr0qHVV202hztLdZr3vCWS3n1Qn1KAoBCEDAIYADw4HBIQQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAt+DwH/fwwysgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVARwYFQuOIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQ+CYEcGB8k4nADAhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCoCODAqFhxBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCDwTQjgwPgmE4EZEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIVARwYFQsOIIABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQOCbEMCB8U0mAjMgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoCODAqFhwBAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAwDchgAPjm0wEZkAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIFARwIFRseAIAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBb0IAB8Y3mQjMgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoCKAA6NiwREEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAALfhAAOjG8yEZgBAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQAHRsWCIwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABL4JARwY32QiMAMCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIGKAA6MigVHEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIfBMCODC+yURgBgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhUBHBgVC44gAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhD4JgRwYHyTicAMCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEKgI4MCoWHEEAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIPBNCODA+CYTgRkQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhUBHBgVCw4ggAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhA4JsQwIHxTSYCMyAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEKgI4MCoWHAEAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIDANyHwf4bq1YsWTs+iAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 创建网络\n",
    "![image.png](attachment:image.png)\n",
    "不太明白的地方就是，吴恩达的教程中，输入的是one-hot编码，但是这里好像没有做这个预处理啊？难道是在嵌入层里面做的？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Flatten, Dense, Embedding\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(10000, 16, input_length = maxlen))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(1, activation='sigmoid'))"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer='rmsprop',\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy'])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "history = model.fit(x_train,y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=32,\n",
    "                    validation_split=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "acc = history.history['accuracy']\n",
    "val_acc = history.history['val_accuracy']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(1, len(acc) + 1)\n",
    "\n",
    "# \"bo\" is for \"blue dot\"（'bo' 表示蓝色圆点）\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "# b is for \"solid blue line\"（'b' 表示蓝色实线）\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "acc_values = history.history['accuracy']\n",
    "val_acc_values = history.history['val_accuracy']\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Flatten, Dense, Embedding\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(10000, 8, input_length = maxlen))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(1, activation='sigmoid'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer='rmsprop',\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy'])\n",
    "model.summary()\n",
    "history = model.fit(x_train,y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=32,\n",
    "                    validation_split=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "acc_values = history.history['accuracy']\n",
    "val_acc_values = history.history['val_accuracy']\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras import preprocessing\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Flatten, Dense, Embedding\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def trainEmbed(maxlen, vectorlen):\n",
    "    #将整数列表转为samples，maxlen（20）的二维张量\n",
    "    x_train = preprocessing.sequence.pad_sequences(train_data, maxlen = maxlen)\n",
    "    x_test =  preprocessing.sequence.pad_sequences(test_data, maxlen = maxlen)\n",
    "    model = Sequential()\n",
    "    model.add(Embedding(10000, 8, input_length = maxlen))\n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    model.compile(optimizer='rmsprop',\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy'])\n",
    "    model.summary()\n",
    "    history = model.fit(x_train,y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=32,\n",
    "                    validation_split=0.2)\n",
    "    acc_values = history.history['accuracy']\n",
    "    val_acc_values = history.history['val_accuracy']\n",
    "    epochs = range(1, len(acc_values) + 1)\n",
    "    plt.plot(epochs, acc_values, 'bo', label='Training acc')\n",
    "    plt.plot(epochs, val_acc_values, 'b', label='Validation acc')\n",
    "    plt.title('Training and validation accuracy')\n",
    "    plt.xlabel('Epochs')\n",
    "    plt.ylabel('accuracy')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "    return val_acc_values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_15\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_15 (Embedding)     (None, 20, 8)             80000     \n",
      "_________________________________________________________________\n",
      "flatten_15 (Flatten)         (None, 160)               0         \n",
      "_________________________________________________________________\n",
      "dense_15 (Dense)             (None, 1)                 161       \n",
      "=================================================================\n",
      "Total params: 80,161\n",
      "Trainable params: 80,161\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 1s 58us/step - loss: 0.6748 - accuracy: 0.6030 - val_loss: 0.6309 - val_accuracy: 0.6990\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 1s 51us/step - loss: 0.5530 - accuracy: 0.7486 - val_loss: 0.5311 - val_accuracy: 0.7312\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 1s 51us/step - loss: 0.4652 - accuracy: 0.7885 - val_loss: 0.5022 - val_accuracy: 0.7478\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 1s 49us/step - loss: 0.4213 - accuracy: 0.8123 - val_loss: 0.4941 - val_accuracy: 0.7544\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 1s 52us/step - loss: 0.3908 - accuracy: 0.8266 - val_loss: 0.4932 - val_accuracy: 0.7568\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 1s 50us/step - loss: 0.3658 - accuracy: 0.8404 - val_loss: 0.4993 - val_accuracy: 0.7580\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 1s 50us/step - loss: 0.3435 - accuracy: 0.8530 - val_loss: 0.5042 - val_accuracy: 0.7536\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 1s 50us/step - loss: 0.3235 - accuracy: 0.8618 - val_loss: 0.5115 - val_accuracy: 0.7560\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 1s 55us/step - loss: 0.3049 - accuracy: 0.8733 - val_loss: 0.5193 - val_accuracy: 0.7524\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 1s 48us/step - loss: 0.2875 - accuracy: 0.8826 - val_loss: 0.5300 - val_accuracy: 0.7494\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v20_8 = trainEmbed(20, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst.append((v20_8, \"len 20, vec 8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_18\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_18 (Embedding)     (None, 50, 8)             80000     \n",
      "_________________________________________________________________\n",
      "flatten_18 (Flatten)         (None, 400)               0         \n",
      "_________________________________________________________________\n",
      "dense_18 (Dense)             (None, 1)                 401       \n",
      "=================================================================\n",
      "Total params: 80,401\n",
      "Trainable params: 80,401\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 1s 71us/step - loss: 0.6562 - accuracy: 0.6457 - val_loss: 0.5664 - val_accuracy: 0.7582\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 1s 52us/step - loss: 0.4648 - accuracy: 0.8019 - val_loss: 0.4362 - val_accuracy: 0.7996\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 1s 48us/step - loss: 0.3698 - accuracy: 0.8395 - val_loss: 0.4064 - val_accuracy: 0.8102\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 1s 48us/step - loss: 0.3268 - accuracy: 0.8594 - val_loss: 0.3988 - val_accuracy: 0.8126\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 1s 51us/step - loss: 0.2983 - accuracy: 0.8736 - val_loss: 0.3976 - val_accuracy: 0.8162\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 1s 54us/step - loss: 0.2744 - accuracy: 0.8860 - val_loss: 0.4008 - val_accuracy: 0.8166\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 1s 47us/step - loss: 0.2529 - accuracy: 0.8965 - val_loss: 0.4073 - val_accuracy: 0.8150\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 1s 61us/step - loss: 0.2328 - accuracy: 0.9075 - val_loss: 0.4141 - val_accuracy: 0.8150\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 1s 44us/step - loss: 0.2140 - accuracy: 0.9168 - val_loss: 0.4233 - val_accuracy: 0.8150\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 1s 45us/step - loss: 0.1954 - accuracy: 0.9250 - val_loss: 0.4325 - val_accuracy: 0.8116\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v50_8 = trainEmbed(50, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst.append((v50_8, \"len 50, vec 8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_19\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_19 (Embedding)     (None, 100, 8)            80000     \n",
      "_________________________________________________________________\n",
      "flatten_19 (Flatten)         (None, 800)               0         \n",
      "_________________________________________________________________\n",
      "dense_19 (Dense)             (None, 1)                 801       \n",
      "=================================================================\n",
      "Total params: 80,801\n",
      "Trainable params: 80,801\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 1s 73us/step - loss: 0.6205 - accuracy: 0.6921 - val_loss: 0.4788 - val_accuracy: 0.8024\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 1s 57us/step - loss: 0.3764 - accuracy: 0.8515 - val_loss: 0.3578 - val_accuracy: 0.8448\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 1s 56us/step - loss: 0.2896 - accuracy: 0.8823 - val_loss: 0.3339 - val_accuracy: 0.8538\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 1s 54us/step - loss: 0.2479 - accuracy: 0.9009 - val_loss: 0.3265 - val_accuracy: 0.8602\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 1s 54us/step - loss: 0.2187 - accuracy: 0.9146 - val_loss: 0.3287 - val_accuracy: 0.8592\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 1s 52us/step - loss: 0.1936 - accuracy: 0.9262 - val_loss: 0.3362 - val_accuracy: 0.8578\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 1s 52us/step - loss: 0.1714 - accuracy: 0.9368 - val_loss: 0.3441 - val_accuracy: 0.8530\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 1s 54us/step - loss: 0.1513 - accuracy: 0.9467 - val_loss: 0.3533 - val_accuracy: 0.8548\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 1s 57us/step - loss: 0.1325 - accuracy: 0.9548 - val_loss: 0.3668 - val_accuracy: 0.8514\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 1s 62us/step - loss: 0.1153 - accuracy: 0.9626 - val_loss: 0.3796 - val_accuracy: 0.8486\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v100_8 = trainEmbed(100, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst.append((v100_8, \"len100, vec 8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_20\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_20 (Embedding)     (None, 200, 8)            80000     \n",
      "_________________________________________________________________\n",
      "flatten_20 (Flatten)         (None, 1600)              0         \n",
      "_________________________________________________________________\n",
      "dense_20 (Dense)             (None, 1)                 1601      \n",
      "=================================================================\n",
      "Total params: 81,601\n",
      "Trainable params: 81,601\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 2s 76us/step - loss: 0.5816 - accuracy: 0.7110 - val_loss: 0.3996 - val_accuracy: 0.8424\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 1s 70us/step - loss: 0.3103 - accuracy: 0.8780 - val_loss: 0.3010 - val_accuracy: 0.8804\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 1s 72us/step - loss: 0.2359 - accuracy: 0.9090 - val_loss: 0.2828 - val_accuracy: 0.8848\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 1s 75us/step - loss: 0.1972 - accuracy: 0.9237 - val_loss: 0.2839 - val_accuracy: 0.8870\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 2s 82us/step - loss: 0.1710 - accuracy: 0.9351 - val_loss: 0.2836 - val_accuracy: 0.8852\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 2s 88us/step - loss: 0.1485 - accuracy: 0.9452 - val_loss: 0.2947 - val_accuracy: 0.8816\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 1s 55us/step - loss: 0.1296 - accuracy: 0.9535 - val_loss: 0.3002 - val_accuracy: 0.8828\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 1s 59us/step - loss: 0.1124 - accuracy: 0.9606 - val_loss: 0.3138 - val_accuracy: 0.8798\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 1s 59us/step - loss: 0.0979 - accuracy: 0.9668 - val_loss: 0.3270 - val_accuracy: 0.8776\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 1s 65us/step - loss: 0.0849 - accuracy: 0.9722 - val_loss: 0.3420 - val_accuracy: 0.8730\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v200_8 = trainEmbed(200, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst.append((v200_8, \"len 200, vec 8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_21\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_21 (Embedding)     (None, 300, 8)            80000     \n",
      "_________________________________________________________________\n",
      "flatten_21 (Flatten)         (None, 2400)              0         \n",
      "_________________________________________________________________\n",
      "dense_21 (Dense)             (None, 1)                 2401      \n",
      "=================================================================\n",
      "Total params: 82,401\n",
      "Trainable params: 82,401\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 1s 73us/step - loss: 0.5721 - accuracy: 0.7081 - val_loss: 0.3797 - val_accuracy: 0.8468\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 2s 82us/step - loss: 0.2935 - accuracy: 0.8870 - val_loss: 0.2891 - val_accuracy: 0.8848\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 1s 74us/step - loss: 0.2256 - accuracy: 0.9125 - val_loss: 0.2768 - val_accuracy: 0.8858\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 2s 90us/step - loss: 0.1917 - accuracy: 0.9262 - val_loss: 0.2697 - val_accuracy: 0.8934\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 2s 100us/step - loss: 0.1688 - accuracy: 0.9365 - val_loss: 0.2786 - val_accuracy: 0.8870\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 2s 116us/step - loss: 0.1518 - accuracy: 0.9438 - val_loss: 0.2792 - val_accuracy: 0.8946\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 2s 76us/step - loss: 0.1361 - accuracy: 0.9500 - val_loss: 0.2882 - val_accuracy: 0.8926\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 1s 73us/step - loss: 0.1210 - accuracy: 0.9561 - val_loss: 0.2971 - val_accuracy: 0.8906\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 2s 86us/step - loss: 0.1075 - accuracy: 0.9635 - val_loss: 0.3089 - val_accuracy: 0.8908\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 2s 102us/step - loss: 0.0948 - accuracy: 0.9678 - val_loss: 0.3217 - val_accuracy: 0.8864\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "v300_8 = trainEmbed(300, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_lst.append((v300_8, \"len 300, vec 8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "epochs = range(1, len(v20_8) + 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.6990000009536743,\n",
       " 0.7311999797821045,\n",
       " 0.7477999925613403,\n",
       " 0.7544000148773193,\n",
       " 0.7567999958992004,\n",
       " 0.7580000162124634,\n",
       " 0.753600001335144,\n",
       " 0.7559999823570251,\n",
       " 0.7523999810218811,\n",
       " 0.7494000196456909]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_lst[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "([0.6990000009536743, 0.7311999797821045, 0.7477999925613403, 0.7544000148773193, 0.7567999958992004, 0.7580000162124634, 0.753600001335144, 0.7559999823570251, 0.7523999810218811, 0.7494000196456909], 'len 20, vec 8')\n",
      "([0.7581999897956848, 0.7996000051498413, 0.8101999759674072, 0.8126000165939331, 0.8162000179290771, 0.8166000247001648, 0.8149999976158142, 0.8149999976158142, 0.8149999976158142, 0.8116000294685364], 'len 50, vec 8')\n",
      "([0.8023999929428101, 0.8447999954223633, 0.8537999987602234, 0.8601999878883362, 0.8592000007629395, 0.8578000068664551, 0.8529999852180481, 0.8547999858856201, 0.8514000177383423, 0.8485999703407288], 'len100, vec 8')\n",
      "([0.8424000144004822, 0.8804000020027161, 0.8848000168800354, 0.8870000243186951, 0.885200023651123, 0.881600022315979, 0.8827999830245972, 0.879800021648407, 0.8776000142097473, 0.8730000257492065], 'len 200, vec 8')\n",
      "([0.8468000292778015, 0.8848000168800354, 0.8858000040054321, 0.8934000134468079, 0.8870000243186951, 0.894599974155426, 0.8925999999046326, 0.8906000256538391, 0.8907999992370605, 0.8863999843597412], 'len 300, vec 8')\n"
     ]
    }
   ],
   "source": [
    "for i in train_lst:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in train_lst:\n",
    "    plt.plot(epochs, i[0], label= i[1])\n",
    "\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('accuracy')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "4\n",
      "8\n",
      "16\n",
      "32\n",
      "64\n",
      "128\n"
     ]
    }
   ],
   "source": [
    "k = 1\n",
    "for i in range(1,8):\n",
    "    k = k*2\n",
    "    print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_23\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_23 (Embedding)     (None, 200, 8)            80000     \n",
      "_________________________________________________________________\n",
      "flatten_23 (Flatten)         (None, 1600)              0         \n",
      "_________________________________________________________________\n",
      "dense_23 (Dense)             (None, 1)                 1601      \n",
      "=================================================================\n",
      "Total params: 81,601\n",
      "Trainable params: 81,601\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 2s 82us/step - loss: 0.5701 - accuracy: 0.7213 - val_loss: 0.3840 - val_accuracy: 0.8520\n",
      "Epoch 2/10\n",
      "19776/20000 [============================>.] - ETA: 0s - loss: 0.3031 - accuracy: 0.8833"
     ]
    }
   ],
   "source": [
    "k = 1\n",
    "train_lst = []\n",
    "for i in range(1,8):\n",
    "    k = k * 2\n",
    "    train_lst.append((ret, \"len 200, vec \"+str(k)))\n",
    "    ret = trainEmbed(200, k)\n",
    "    \n",
    "    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "keras",
   "language": "python",
   "name": "keras"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
